Repository: schizofreny/middle-out Branch: master Commit: 0bbe73b5375b Files: 23 Total size: 10.9 MB Directory structure: gitextract_xmcwhvin/ ├── .clang-format ├── .gitignore ├── LICENSE.md ├── Makefile ├── README.md ├── ansible-playbook.yaml ├── avx512.cpp ├── avx512.hpp ├── data/ │ ├── README.md │ ├── ibm.data │ ├── redis_memory.data │ ├── usages.data │ ├── used.data │ └── writes.data ├── example/ │ ├── Makefile │ └── example.cpp ├── gbench/ │ └── perf.cpp ├── gtest/ │ └── test.cpp ├── helpers.hpp ├── middleout.cpp ├── middleout.hpp ├── scalar.cpp └── scalar.hpp ================================================ FILE CONTENTS ================================================ ================================================ FILE: .clang-format ================================================ BasedOnStyle: Chromium AccessModifierOffset: -1 AlignAfterOpenBracket: true AlignEscapedNewlinesLeft: true AlignOperands: true AlignTrailingComments: true AllowAllParametersOfDeclarationOnNextLine: false AllowShortBlocksOnASingleLine: false AllowShortCaseLabelsOnASingleLine: false AllowShortFunctionsOnASingleLine: Inline AllowShortIfStatementsOnASingleLine: false AllowShortLoopsOnASingleLine: false AlwaysBreakAfterDefinitionReturnType: false AlwaysBreakBeforeMultilineStrings: true AlwaysBreakTemplateDeclarations: true BinPackArguments: true BinPackParameters: false BreakBeforeBinaryOperators: None BreakBeforeBraces: Attach BreakBeforeTernaryOperators: true BreakConstructorInitializersBeforeComma: false ColumnLimit: 100 CommentPragmas: '^ IWYU pragma:' ConstructorInitializerAllOnOneLineOrOnePerLine: true ConstructorInitializerIndentWidth: 4 ContinuationIndentWidth: 4 Cpp11BracedListStyle: true DerivePointerAlignment: false DisableFormat: false ExperimentalAutoDetectBinPacking: false IndentCaseLabels: true IndentWidth: 4 IndentWrappedFunctionNames: false KeepEmptyLinesAtTheStartOfBlocks: false Language: Cpp MaxEmptyLinesToKeep: 1 NamespaceIndentation: None ObjCBlockIndentWidth: 4 ObjCSpaceAfterProperty: false ObjCSpaceBeforeProtocolList: false PenaltyBreakBeforeFirstCallParameter: 1 PenaltyBreakComment: 300 PenaltyBreakFirstLessLess: 120 PenaltyBreakString: 1000 PenaltyExcessCharacter: 1000000 PenaltyReturnTypeOnItsOwnLine: 200 PointerAlignment: Left SpaceAfterCStyleCast: false SpaceBeforeAssignmentOperators: true SpaceBeforeParens: ControlStatements SpaceInEmptyParentheses: false SpacesBeforeTrailingComments: 2 SpacesInAngles: false SpacesInCStyleCastParentheses: false SpacesInContainerLiterals: true SpacesInParentheses: false SpacesInSquareBrackets: false Standard: Auto TabWidth: 4 UseTab: ForIndentation ================================================ FILE: .gitignore ================================================ # Prerequisites *.d # Compiled Object files *.slo *.lo *.o *.obj # Precompiled Headers *.gch *.pch # Compiled Dynamic libraries *.so *.dylib *.dll # Fortran module files *.mod *.smod # Compiled Static libraries *.lai *.la *.a *.lib # Executables *.exe *.out *.app .vscode/ test perf dist/* ================================================ FILE: LICENSE.md ================================================ DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE Version 2, December 2004 Copyright (C) 2004 Sam Hocevar Everyone is permitted to copy and distribute verbatim or modified copies of this license document, and changing it is allowed as long as the name is changed. DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. You just DO WHAT THE FUCK YOU WANT TO. ================================================ FILE: Makefile ================================================ CC = g++ ### # COMPILE AND RUN TESTS ### GOOGLE_TEST_LIB = gtest CC_TEST_FLAGS = -O2 -g -Wall -Wno-strict-aliasing -fsanitize=address -D_GLIBCXX_DEBUG_PEDANTIC LD_TEST_FLAGS = -l $(GOOGLE_TEST_LIB) -l pthread -l gtest_main TEST_OBJECTS = gtest/test.cpp scalar.cpp TEST_TARGET = test BUILD_DIR = dist test: $(CC) -o $(TEST_TARGET) $(TEST_OBJECTS) $(CC_TEST_FLAGS) $(LD_TEST_FLAGS) \ && ./$(TEST_TARGET) test-avx512: $(CC) -o $(TEST_TARGET) $(TEST_OBJECTS) avx512.cpp $(CC_TEST_FLAGS) \ -march=skylake-avx512 $(LD_TEST_FLAGS) -D USE_AVX512 && ./$(TEST_TARGET) ### # COMPILE STATIC LIBS ### CC_LIB_FLAGS = -c -O3 -s lib: mkdir -p $(BUILD_DIR) $(CC) $(CC_LIB_FLAGS) middleout.cpp scalar.cpp helpers.hpp -march=native ar -rcs libmiddleout.a middleout.o scalar.o helpers.hpp.gch mv libmiddleout.a $(BUILD_DIR)/ cp middleout.hpp $(BUILD_DIR)/ lib-avx512: mkdir -p $(BUILD_DIR) $(CC) $(CC_LIB_FLAGS) middleout.cpp avx512.cpp helpers.hpp -march=skylake-avx512 -D USE_AVX512 ar -rcs libmiddleout-avx512.a middleout.o avx512.o helpers.hpp.gch mv libmiddleout-$(BUILD_DIR).a $(BUILD_DIR)/ cp middleout.hpp $(BUILD_DIR)/ install-libs-example: cp $(BUILD_DIR)/*.a example cp middleout.hpp example/ clean-lib: -rm libmiddleout.a -rm libmiddleout-avx512.a -rm $(BUILD_DIR)/*.a ### # COMPILE AND RUN GOOGLE BENCHMARK TESTS ### CC_GBENCH_FLAGS = -O3 LD_GBENCH_FLAGS = -l gtest -l benchmark -l pthread GBENCH_OBJECTS = gbench/perf.cpp scalar.cpp GBENCH_TARGET = perf bench: $(CC) -o $(GBENCH_TARGET) $(GBENCH_OBJECTS) $(CC_GBENCH_FLAGS) -march=native $(LD_GBENCH_FLAGS) ./$(GBENCH_TARGET) bench-avx512: $(CC) -o $(GBENCH_TARGET) $(GBENCH_OBJECTS) avx512.cpp $(CC_GBENCH_FLAGS) -march=skylake-avx512 $(LD_GBENCH_FLAGS) -D USE_AVX512 ./$(GBENCH_TARGET) #aliases for bench perf: make bench perf-avx512: make bench-avx512 clean: -rm *.o -rm *.a -rm *.gch -rm gtest/*.o -rm gbench/*.o -rm $(BUILD_DIR) -r -rm $(TEST_TARGET) -rm $(GBENCH_TARGET) .PHONY: clean test test-avx512 lib lib-avx512 clean-lib bench bench-avx512 perf perf-avx512 ================================================ FILE: README.md ================================================ # Middle-out Compression for Time-series Data We all know, how the Middle-out compression works at the HBO show [1], but how do we actually apply this to the time-series data? Take a look at the following schema. There is an input vector of a data. This vector is divided to Middle-out segments. For simplicity, in the image there are only four of a segments, but compression actually uses eight. This is because the AVX-512 vector instructions can process up to 8 doubles at once. If we used a single precision numbers, then we’d have 16 Middle-out segments and proceed 16 elements at a time. The first elements of each segment (denoted by blue) are referencing values. These values are stored as-is in the front of a compressed data. ![Middle-out overview](/images/middle-out-overview.svg) As long as we have multiple referencing points, we can compute diffs between the following values in parallel. That allows us to iterate through all Middle-out segments simultaneously, in the same block of the SIMD instructions. Within each iteration, the current values are XORed with the previous ones and the results of this operation are stored in one data block. If there is a reminder of the division of the length of the input vector by the count of Middle-out blocks, values from that reminder are stored uncompressed at the end of compressed data. Of course the uncompressed header and footer add some space overhead, but we assume that the overhead would be amortized among at least a few thousands values. ![Middle-out data block](/images/middle-out-data-block.svg) Each data block starts with a bit mask determining what values are the same as the previous ones. If the corresponding bit is set, then we know that the value didn’t change. If all of the bits are set, no further information is stored - all values are the same as the previous ones. In that case, we are able to store an unchanged value in just single bit. Next, we store the right offsets (trailing zeros) rounded down to bytes. As long as we are addressing whole bytes, we need only 3 bits to store that offset. Only the offsets respective to the changed values are stored. Then the max length (within this block) of the non-zero XORed value is stored. This length holds bytes as well, and we know the max length could not be 0; that would mean all the values are the same as the previous ones and we wouldn't store this information at all. Hence we need to store only lengths from 1 to 8 that can be stored in 3 bits. We store length only once per block, because we assume that all compressed data would have, in general, the same characteristics, i.e. changing by approximately the same value. All these values encoded in 3 bits (offsets and length) are conjoined and an optional padding is inserted if needed to reach the byte boundary. Lastly, the XORs parts are stored at the end of the the data block. ## Scalar vs AVX-512 Implementation This repository contains two implementations. The first is scalar implementation targeting pre-AVX-512 CPUs. Second implmementation is written in AVX-512 intrinsics and offers great speed up over the scalar implementation. The vectorized implementation can be build with `make` targets suffixed `-avx512`. ## Target Platforms Both implementations in this repo targetting x86 (little endian). Works with `g++` compiler version **7.2+** in the Unix ecosystem. ## Performance Throughput is measured on a single core of Skylake-X Xeon running at 2.0 GHz. Compress ratios on example datasets vary from 1.3 to 3.3. | | Scalar | AVX-512 | |------------|-----------------------|----------------| | Compress | 0.7 - 1.7 GB/s | 2.3 - 2.5 GB/s | | Decompress | 2.3 - 2.9 GB/s | 3.4 - 4.8 GB/s | [More informations](https://medium.com/@vaclav.loffelmann/the-worlds-first-middle-out-compression-for-time-series-data-part-1-1e5ad5312757 "The World’s First Middle-Out Compression for Time-series Data — Part 1"). # Compile libs ``` make lib ``` or ``` make lib-avx512 ``` ### Compile and Run Tests ``` make test ``` or ``` make test-avx512 ``` ### Compile and Run Performance Tests ``` make perf ``` or ``` make perf-avx512 ``` ### Compile and Run Example ``` make lib ; make lib-avx512 make install-libs-example cd example make ``` ### Example code ```c++ #include "middleout.hpp" vector& dataIn = ...data...; size_t count = dataIn.size(); // COMPRESSION vector compressed(middleout::maxCompressedSize(count)); size_t compressedLength = middleout::compress(dataIn, compressed); // "compressed" contains compressed data between 0 and compressedLength th element // DECOMPRESSION vector dataOut(count); middleout::decompress(compressed, count, dataOut); // "dataOut" contains decompressed data ``` ## Dev dependencies * [Google Test](https://github.com/google/googletest) * [Google Benchmark](https://github.com/google/benchmark) ### Debian/Ubuntu install gtest ``` apt install libgtest-dev build-essential cmake cd /usr/src/gtest cmake . make -j4 cp *.a /usr/lib ``` install google benchmark ``` cd /usr/lib git clone https://github.com/google/benchmark.git cd benchmark cmake . -DCMAKE_BUILD_TYPE=Release make -j4 make install ``` ## License WTFPL version 2 ## References [1] https://vimeo.com/97107551 ================================================ FILE: ansible-playbook.yaml ================================================ --- - hosts: middleout become: yes become_user: root tasks: - name: install required sw apt: name={{item}} state=installed with_items: - cmake - build-essential - name: apt install libgtest-dev source code apt: name=libgtest-dev - name: compile gtest shell: | cmake . make -j2 cp *.a /usr/lib args: chdir: /usr/src/gtest - name: install google benchmark shell: | git clone https://github.com/google/benchmark.git cd benchmark cmake . -DCMAKE_BUILD_TYPE=Release make -j2 make install args: chdir: /usr/lib ================================================ FILE: avx512.cpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include "avx512.hpp" #include "helpers.hpp" #include #include #include #include #include namespace middleout { template class Avx52; template class Avx52; template class Avx52; template Avx52::Avx52() {} template std::unique_ptr> Avx52::compressSimple(std::vector& data) { std::unique_ptr> compressed( new std::vector(Avx52::maxCompressedSize(data.size()))); size_t size = Avx52::compress(data, *compressed); compressed->resize(size); compressed->shrink_to_fit(); return compressed; } /** * return length in bytes within left zeros and right zeros */ inline __m512i byteLength(__mmask8 mask, __m512i leftOffset, __m512i rightOffset) { // return 8 - (leftOffset + rightOffset); __m512i baseLength = _mm512_set1_epi64(8); __m512i offsetsSum = _mm512_add_epi64(leftOffset, rightOffset); return _mm512_maskz_sub_epi64(mask, baseLength, offsetsSum); } /** * From number of bits, computes number of bytes (bytes). E.g. bits/8 */ inline __m512i byteRound(__m512i x) { // return x >> 3; return _mm512_srli_epi64(x, 3); } /** * Compresses offsets. Skip offsets by mask. Using 3bits per one offset */ inline int compressOffsets(__mmask8 notSame, __m512i offsets) { // shift each offset to correct position __m512i compressed = _mm512_maskz_compress_epi64(notSame, offsets); // shift within one vector to final position // skip first right 3 bits for maxLength __m512i positioned = _mm512_sllv_epi64(compressed, _mm512_setr_epi64(3, 6, 9, 12, 15, 18, 21, 24)); // combine positioned data with OR return (int)_mm512_reduce_or_epi64(positioned); } /** * Reverses bytes within elements of vector */ inline __m512i byte_reverse_within_epi64(__m512i a) { // set *EPI16* positions for permutations __m512i idx = _mm512_set_epi32(28 << 16 | 29, 30 << 16 | 31, // 24 << 16 | 25, 26 << 16 | 27, // 20 << 16 | 21, 22 << 16 | 23, // 16 << 16 | 17, 18 << 16 | 19, // 12 << 16 | 13, 14 << 16 | 15, // 8 << 16 | 9, 10 << 16 | 11, // 4 << 16 | 5, 6 << 16 | 7, // 0 << 16 | 1, 2 << 16 | 3); // in g++ set_epi16 is not defined // __m512i idx = _mm512_set_epi16(28, 29, 30, 31, // // 24, 25, 26, 27, // // 20, 21, 22, 23, // // 16, 17, 18, 19, // // 12, 13, 14, 15, // // 8, 9, 10, 11, // // 4, 5, 6, 7, // // 0, 1, 2, 3); // 2var because "1var" does not exists // permute double bytes __m512i permuted16 = _mm512_permutex2var_epi16(a, idx, a); // swap bytes within epi16 __m512i right = _mm512_srli_epi16(permuted16, 8); __m512i left = _mm512_slli_epi16(permuted16, 8); // combine swaps return _mm512_or_epi32(right, left); } /** * Comress block of data */ template inline void compressBlock(std::vector& data, std::vector& output, size_t blockSize, // size of one middle-out block size_t* outputIndex, const size_t i, // position within middle-out block const __m256i vindex, // indexes within middle-out block __m512i* prev) { __m512i curr = _mm512_i32gather_epi64(vindex, &data[i], 8); __m512i xored = _mm512_xor_epi64(*prev, curr); __mmask8 notSame = _mm512_cmp_epi64_mask(xored, _mm512_set1_epi64(0), _MM_CMPINT_NE); // store "not same" metadata output[(*outputIndex)++] = ~notSame; // test if whole mask is zeros if (notSame == 0) { // skip if all values are the same as previous return; } // computes 1s in mask - number of different values int notSameCount = __builtin_popcount(notSame); __m512i leadingZeros = _mm512_maskz_lzcnt_epi64(notSame, xored); __m512i trailingZeros = _mm512_maskz_lzcnt_epi64(notSame, byte_reverse_within_epi64(xored)); __m512i leftOffsetBytes = byteRound(leadingZeros); __m512i rightOffsetBytes = byteRound(trailingZeros); __m512i lengthBytes = byteLength(notSame, leftOffsetBytes, rightOffsetBytes); uint8_t maxLength = (uint8_t)_mm512_reduce_max_epi64(lengthBytes); // right bytes offset * 8 __m512i shiftsBitsFromRight = _mm512_slli_epi64(rightOffsetBytes, 3); // align non-zero xored part to right __m512i shiftedXored = _mm512_srlv_epi64(xored, shiftsBitsFromRight); int* outAsInts = reinterpret_cast(&output[*outputIndex]); // store offsets and max length // -1 becasue we need to store only values 1-8, so 3 bits are enought outAsInts[0] = compressOffsets(notSame, rightOffsetBytes) | (maxLength - 1); // +1 because first 3 bits are maxLength *outputIndex += getBytesLengthOfOffsets(notSameCount + 1); // maxLength * position __m512i storeBase = _mm512_mullo_epi64(_mm512_set1_epi64(maxLength), _mm512_setr_epi64(0, 1, 2, 3, 4, 5, 6, 7)); // compress within vector - store is done in strong order (documented behavior) // compression is done by data overlapping __m512i compressedXoredShifted = _mm512_maskz_compress_epi64(notSame, shiftedXored); // store data _mm512_i64scatter_epi64(&output[*outputIndex], storeBase, compressedXoredShifted, 1); // // shift output data offsets *outputIndex += notSameCount * maxLength; // preserve previous data in vector register *prev = curr; } /* Middle-out compression */ template size_t Avx52::compress(std::vector& data, std::vector& output) { if (data.size() <= MIN_DATA_SIZE_COMPRESSION_TRESHOLD) { // not enough data to compress return doNotCompressTheData(data, output); } // skip first 8 init values size_t outputIndex = sizeof(T) * VECTOR_SIZE; // "middle-out" data block size size_t blockSize = data.size() / VECTOR_SIZE; // just copy init reference values fillStart(data, output, blockSize); __m256i vindex = _mm256_setr_epi32(0, 1, 2, 3, 4, 5, 6, 7); vindex = _mm256_mullo_epi32(vindex, _mm256_set1_epi32(blockSize)); __m512i prev = _mm512_i32gather_epi64(vindex, &data[0], 8); // main compression loop for (size_t i = 1; i < blockSize; i += 1) { compressBlock(data, output, blockSize, &outputIndex, i, vindex, &prev); } // write rest data without any compression for (size_t i = blockSize * VECTOR_SIZE; i < data.size(); i++) { T* outAsLongs = reinterpret_cast(&output[outputIndex]); outAsLongs[0] = data[i]; outputIndex += sizeof(T); } // write compress algorithm version and datatype constant output[outputIndex++] = 0x7E; //== 0b01111110 // to avoid access to invalid memory on decompression return outputIndex + 6; } // // DECOMPRESSION // template inline void decompressBlock(std::vector& input, size_t inputElements, std::vector& data, size_t* inputIndex, // position within input data const size_t blockSize, // size of middle-out block const size_t i, // position within block const __m256i vindex, // vector of output data indexes __m512i* prev) { // read mask of same values uint8_t sameMask = input[(*inputIndex)++]; if (sameMask == 0b11111111) { // all values are the same as previous ones // simple store prev elements _mm512_i32scatter_epi64(&data[i], vindex, *prev, 8); return; } __mmask8 notSameMask = ~sameMask; // read unaligned offsets, where offset = number of empty bytes from right in XORed value uint32_t compresedOffsetsAndMaxLength = reinterpret_cast(&input[*inputIndex])[0]; // +1 because only 3 bits are stored and valid lengths are 1-8 uint8_t maxLength = (compresedOffsetsAndMaxLength & 0b111) + 1; // count of 1s in mask int sameCount = __builtin_popcount(sameMask); int notSameCount = 8 - sameCount; // +1 because first 3 bits are maxLength *inputIndex += getBytesLengthOfOffsets(notSameCount + 1); __m256i decompressOffsets = _mm256_maskz_expand_epi32(notSameMask, _mm256_setr_epi32(0, 1, 2, 3, 4, 5, 6, 7)); __m256i readShifts = _mm256_mullo_epi32(_mm256_set1_epi32(maxLength), decompressOffsets); __m512i toXor = _mm512_mask_i32gather_epi64(*prev, notSameMask, readShifts, &input[*inputIndex], 1); // expand offsets to each positon within offsets vector __m512i offsets = _mm512_set1_epi64(compresedOffsetsAndMaxLength); // zero other offsets offsets = _mm512_and_epi64(offsets, _mm512_setr_epi64(0b111000, // 0b111000000, // 0b111000000000, // 0b111000000000000, // 0b111000000000000000, // 0b111000000000000000000, // 0b111000000000000000000000, // 0b111000000000000000000000000 // )); // set offsets back to right in vector elemet offsets = _mm512_srlv_epi64(offsets, _mm512_setr_epi64(3, 6, 9, 12, 15, 18, 21, 24)); // get offsets to positions corresponding with compressed values offsets = _mm512_maskz_expand_epi64(notSameMask, offsets); // offset *8 offsets = _mm512_slli_epi64(offsets, 3); toXor = clearTopBits(toXor, (64 - 8 * maxLength)); // position to xor toXor = _mm512_sllv_epi64(toXor, offsets); __m512i xored = _mm512_mask_xor_epi64(*prev, notSameMask, *prev, toXor); _mm512_i32scatter_epi64(&data[i], vindex, xored, 8); *inputIndex += (sizeof(T) - sameCount) * maxLength; *prev = xored; } template void Avx52::decompress(std::vector& input, size_t inputElements, std::vector& data) { // not enough data to compress if (inputElements <= MIN_DATA_SIZE_COMPRESSION_TRESHOLD) { return doNotDecompressTheData(input, inputElements, data); } //"middle-out" block size size_t blockSize = inputElements / VECTOR_SIZE; // copy first ref. values for (size_t i = 0; i < VECTOR_SIZE; i++) { data[blockSize * i] = (reinterpret_cast(input.data()))[i]; } // skip first 8 init values size_t inputIndex = sizeof(T) * VECTOR_SIZE; // precompute vindex __m256i vindex = _mm256_setr_epi32(0, 1, 2, 3, 4, 5, 6, 7); vindex = _mm256_mullo_epi32(vindex, _mm256_set1_epi32(blockSize)); __m512i prev = _mm512_loadu_si512(&input[0]); // main decompression loop for (size_t i = 1; i < blockSize; i += 1) { decompressBlock(input, inputElements, data, &inputIndex, blockSize, i, vindex, &prev); } // copy rest of data (uncompressed) for (size_t i = blockSize * VECTOR_SIZE; i < inputElements; i++) { data[i] = (reinterpret_cast(&input[inputIndex]))[0]; inputIndex += sizeof(T); } } } // end namespace middleout ================================================ FILE: avx512.hpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include #include #include #include #ifndef AVX52_H #define AVX52_H namespace middleout { template class Avx52 { static_assert(sizeof(T) == 8, "Must use datatype with legth of 8 bytes."); public: Avx52(); static std::unique_ptr> compressSimple(std::vector& data); static size_t compress(std::vector& data, std::vector& output); static void decompress(std::vector& input, size_t itemsCount, std::vector& data); static size_t maxCompressedSize(size_t count) { size_t blockCount = count / 8; // 8*8 : init reference values // 5*blockClount : max size of block headers // 8*8*blockCount : max size of xored data: 8 bytes * 8 values // 8*(count%8) : uncompressed rest of values return 8 * 8 + blockCount * 5 + 8 * 8 * blockCount + 8 * (count % 8); } }; } // end namespace middleout #endif /* AVX52_H */ ================================================ FILE: data/README.md ================================================ File ibm.data contains minute stock data. 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106967 213862 10704 1000 107017 213962 10711 1000 107067 214063 10717 1000 107117 214164 10724 1000 107168 214264 10727 1000 107218 214363 10731 1000 107269 214464 10737 1000 107317 214564 10743 1000 107368 214663 10749 1000 107419 214761 10757 1000 107470 214865 10761 1000 107520 214965 10766 1000 107568 215064 10772 1000 107618 215165 10778 1000 107669 215265 10781 1000 107718 215365 10787 1000 107770 215465 10792 1000 107821 215565 10798 1000 107870 215666 10803 1000 107921 215767 10809 1000 107972 215869 10813 1000 ================================================ FILE: example/Makefile ================================================ CPP = g++ CPP_ARGS = -O3 -march=native -o demo TARGET = example.cpp HAVE_AVX512 = $(shell grep avx512 /proc/cpuinfo) all: $(CPP) $(CPP_ARGS) $(TARGET) libmiddleout.a ./demo avx512: ifeq ($(HAVE_AVX512),) @echo Your CPU does not support AVX-512 instruction set else $(CPP) $(CPP_ARGS) $(TARGET) libmiddleout-avx512.a ./demo endif PHONY: all avx512 ================================================ FILE: example/example.cpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include #include #include #include #include #include #include #include "middleout.hpp" // compression api int BYTES_TO_GB = 1024 * 1024 * 1024; // parameter for data generation int PROBABILITY_OF_REPEATING = 80; // percent // alias time_point using timep_t = std::chrono::time_point; /* FUNCTIONS DECLARATIONS */ template void compressionWrapper(std::vector& dataToCompress, std::vector& compressedData); template void decompressionWrapper(std::vector& compressedData, size_t itemsCount, std::vector& data); template std::vector* generateSequece(T from, T to); template void testSequence(T from, T to); void testStockData(); void testMyData(); /* FUNCTIONS DEFINITIONS */ /** Prints stats about compression Shows example of compression call @param dataToCompress can be vector of doubles or int64_t @param compressedData - compressed data will be writeen here */ template void compressionWrapper(std::vector& dataToCompress, std::vector& compressedData) { timep_t start, end; start = std::chrono::system_clock::now(); // output is valid between 0 and compressedSize size_t compressedSize = middleout::compress(dataToCompress, compressedData); end = std::chrono::system_clock::now(); std::chrono::duration elapsedSeconds = end - start; size_t originalSize = dataToCompress.size() * sizeof(T); double throughput = originalSize / elapsedSeconds.count() / BYTES_TO_GB; // stats std::cout << "COMPRESSION:" << std::endl; std::cout << "elapsed time: " << elapsedSeconds.count() << "s" << std::endl; std::cout << "uncompressed size: " << originalSize << std::endl; std::cout << "compressed size: " << compressedSize << std::endl; std::cout << "compressed ratio: " << (double)originalSize / compressedSize << std::endl; std::cout << "throughput: " << throughput << " GB/s" << std::endl; std::cout << std::endl; } /** Prints stats about decompression Shows example of decompression call @param compressedData - container with compressed data @param itemsCount - number of elements to be decompressed @param data - write output to this vector */ template void decompressionWrapper(std::vector& compressedData, size_t itemsCount, std::vector& data) { timep_t start, end; start = std::chrono::system_clock::now(); // decompress call middleout::decompress(compressedData, itemsCount, data); end = std::chrono::system_clock::now(); std::chrono::duration elapsedSeconds = end - start; double throughput = (itemsCount * sizeof(T)) / elapsedSeconds.count() / BYTES_TO_GB; // print stats std::cout << "DECOMPRESSION:" << std::endl; std::cout << "elapsed time: " << elapsedSeconds.count() << "s" << std::endl; std::cout << "throughput: " << throughput << " GB/s" << std::endl; std::cout << std::endl; } /** Generate mock data. Value will be same as previous with probability of PROBABILITY_OF_REPEATING For int data type it generates sequence like 0, 1, 2, 3, ... For double it generates 0, 0.1, 0.2, 0.3, ... @param from @param to @retun pointer to generated data. Caller must call destructor */ template std::vector* generateSequence(T from, T to) { auto data = new std::vector(to - from); data->push_back(0); for (int64_t i = 1; i < (to - from); i++) { if (rand() % 100 < PROBABILITY_OF_REPEATING) { // make this value same as previous value (*data)[i] = data->at(i - 1); } else { if (typeid(T) == typeid(double)) { // double sequence growths by 0.1 (*data)[i] = 0.1 * i; } else { // int64_t sequence growths by 1 (*data)[i] = from + i; } } } return data; } /** Generates sequence, compress and decompress data, check for correctness Type of sequence is determined by params type. See `generateSequence` function for more info @param from - first value of generated sequence @param to - max value of generated sequence */ template void testSequence(T from, T to) { std::vector* data = generateSequence(from, to); // allocate output vector std::vector compressedData(middleout::maxCompressedSize(data->size())); compressionWrapper(*data, compressedData); std::vector uncompressedData(data->size()); decompressionWrapper(compressedData, data->size(), uncompressedData); for (size_t i = 0; i < data->size(); i++) { // verify uncompressed data if (data->at(i) != uncompressedData[i]) { throw std::string("data not match"); } } delete data; } /* Loads stock data from file, compress and decompres */ void testStockData() { std::ifstream infile("../data/ibm.data"); std::vector data; std::string line; while (std::getline(infile, line)) { // scale to integer - with no decimal fraction int64_t price10000x = 10000 * std::stod(line); data.push_back(price10000x); } std::cout << std::endl << "13 MB of stock market data - IBM" << std::endl; std::vector compressedData(middleout::maxCompressedSize(data.size())); std::vector outData(data.size()); compressionWrapper(data, compressedData); decompressionWrapper(compressedData, data.size(), outData); } /* You can use this function to test the algorithm on Your data */ /* void testMyData() { //data is stored in text format in my.data file //each value on separate line std::ifstream infile("my.data"); std::vector data; std::string line; while (std::getline(infile, line)) { data.push_back(std::strtol(line)); //for long values // data.push_back(std::stod(line)); //for float values } std::cout << std::endl << "My data" << std::endl; std::vector compressedData(middleout::maxCompressedSize(data.size())); std::vector outData(data.size()); compressionWrapper(data, compressedData); decompressionWrapper(compressedData, data.size(), outData); } */ int main(void) { auto msg = "Middle-out compression example"; std::cout << msg << std::endl << std::endl; std::cout << "4 MB of sequence (0.1 * position). Randomly repeating." << std::endl; testSequence(0, 500000.0); std::cout << "4 MB of sequence ascending values. Randomly repeating." << std::endl; testSequence(0, 500000); testStockData(); // uncomment this to test algorithm on Your data // testMyData(); return 0; } ================================================ FILE: gbench/perf.cpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include "benchmark/benchmark.h" #include #include #include "../scalar.hpp" #ifdef USE_AVX512 #include "../avx512.hpp" #endif #include #include #include #include #include using namespace std; using namespace middleout; #ifdef USE_AVX512 #define ALG_CLASS Avx52 #else #define ALG_CLASS Scalar #endif #define BENCHMARK_ARGS ->Arg(500000)->Arg(1000000)->Arg(200000000) template auto getCompressor() { return &ALG_CLASS::compress; } template auto getDecompressor() { return &ALG_CLASS::decompress; } template std::vector* generateSequeceRandRepeat(T from, T to, int repeatingProbabilityPercent) { auto data = new std::vector(to - from); data->push_back(0); for (int64_t i = 1; i < (to - from); i++) { if (rand() % 100 < repeatingProbabilityPercent) { // make this value same as previous value (*data)[i] = data->at(i - 1); } else { if (typeid(T) == typeid(double)) { // double sequence growths by 0.1 (*data)[i] = 0.1 * i; } else { // int64_t sequence growths by 1 (*data)[i] = from + i; } } } return data; } vector* generateSequece(long from, long to) { auto data = new vector(to - from); for (long i = 0; i < (to - from); i++) { if (i % 2) { (*data)[i] = from + i; } else { (*data)[i] = from + i - 1; } } return data; } std::vector* generateSequeceRandomRepeat(double from, double to) { auto data = new std::vector(to - from); double val = 0.1; data->push_back(val); for (long i = 1; i < (to - from); i++) { if (rand() % 2) { (*data)[i] = val * i; } else { (*data)[i] = (*data)[i - 1]; } } return data; } std::vector* generateRandom() { long from = 0; long to = 100000000; size_t count = 3 * 1000 * 1000; auto data = new std::vector(count); // better rand std::random_device rd; std::mt19937 mt(rd()); std::uniform_real_distribution dist(from, to); for (size_t i = 0; i < count; i++) { data->push_back((long)dist(mt)); } return data; } template static void benchmarkCompress(benchmark::State& state, std::vector& data) { // Scalar::maxCompressSize has same implementation as Avx52 (format is compatible so max length // is compatible too) std::vector compressedData(Scalar::maxCompressedSize(data.size())); int compressedSize = 0; while (state.KeepRunning()) { compressedSize = getCompressor()(data, compressedData); } // std::cout << "ratio: " << (double)(data.size() * sizeof(long)) / compressedSize << std::endl; state.SetBytesProcessed(int64_t(state.iterations()) * int64_t(data.size() * sizeof(long))); } template static void benchmarkDecompress(benchmark::State& state, std::vector& data) { std::vector compressedData(Scalar::maxCompressedSize(data.size())); Scalar::compress(data, compressedData); std::vector outData(data.size()); while (state.KeepRunning()) { getDecompressor()(compressedData, data.size(), outData); } state.SetBytesProcessed(int64_t(state.iterations()) * int64_t(data.size() * sizeof(long))); } static void BM_sequenceCompress(benchmark::State& state) { auto data = generateSequece(0, state.range(0)); benchmarkCompress(state, *data); delete data; } BENCHMARK(BM_sequenceCompress) BENCHMARK_ARGS; static void BM_sequenceDecompress(benchmark::State& state) { auto data = generateSequece(0, state.range(0)); benchmarkDecompress(state, *data); delete data; } BENCHMARK(BM_sequenceDecompress) BENCHMARK_ARGS; static void BM_RandRepeatCompress(benchmark::State& state) { auto data = generateSequeceRandomRepeat(0, state.range(0)); benchmarkCompress(state, *data); delete data; } BENCHMARK(BM_RandRepeatCompress) BENCHMARK_ARGS; static void BM_RandRepeatDecompress(benchmark::State& state) { auto data = generateSequeceRandomRepeat(0, state.range(0)); benchmarkDecompress(state, *data); delete data; } BENCHMARK(BM_RandRepeatDecompress) BENCHMARK_ARGS; static void BM_testRandomDistributionCompress(benchmark::State& state) { auto data = generateRandom(); benchmarkCompress(state, *data); delete data; } BENCHMARK(BM_testRandomDistributionCompress) BENCHMARK_ARGS; static void BM_testRandomDistributionDecompress(benchmark::State& state) { auto data = generateRandom(); benchmarkDecompress(state, *data); delete data; } BENCHMARK(BM_testRandomDistributionDecompress) BENCHMARK_ARGS; #define MAKE_PROB_REPEATING_COMPRESSION_TEST(PERCENT) \ static void BM_testRandomRepeatCompressP##PERCENT(benchmark::State& state) { \ auto data = generateSequeceRandRepeat(0, 10000000.0, PERCENT); \ benchmarkCompress(state, *data); \ delete data; \ } \ BENCHMARK(BM_testRandomRepeatCompressP##PERCENT) BENCHMARK_ARGS; \ \ static void BM_testRandomRepeatDecompressP##PERCENT(benchmark::State& state) { \ auto data = generateSequeceRandRepeat(0, 10000000.0, PERCENT); \ benchmarkDecompress(state, *data); \ delete data; \ } \ BENCHMARK(BM_testRandomRepeatDecompressP##PERCENT) BENCHMARK_ARGS; \ \ static void BM_testRandomRepeatLongCompressP##PERCENT(benchmark::State& state) { \ auto data = generateSequeceRandRepeat(0, 10000000, PERCENT); \ benchmarkCompress(state, *data); \ delete data; \ } \ BENCHMARK(BM_testRandomRepeatLongCompressP##PERCENT) BENCHMARK_ARGS; \ \ static void BM_testRandomRepeatLongDecompressP##PERCENT(benchmark::State& state) { \ auto data = generateSequeceRandRepeat(0, 10000000, PERCENT); \ benchmarkDecompress(state, *data); \ delete data; \ } \ BENCHMARK(BM_testRandomRepeatLongDecompressP##PERCENT) BENCHMARK_ARGS; MAKE_PROB_REPEATING_COMPRESSION_TEST(10); MAKE_PROB_REPEATING_COMPRESSION_TEST(25); MAKE_PROB_REPEATING_COMPRESSION_TEST(50); MAKE_PROB_REPEATING_COMPRESSION_TEST(75); MAKE_PROB_REPEATING_COMPRESSION_TEST(90); MAKE_PROB_REPEATING_COMPRESSION_TEST(95); static std::vector* readFileData(const char* path, bool isDouble, int scale) { std::ifstream infile(path); auto data = new std::vector(); std::string line; while (std::getline(infile, line)) { double val; if (isDouble) { val = std::stod(line); if (scale) { long v1 = scale * val; val = reinterpret_cast(v1); } } else { long v = std::stol(line); val = reinterpret_cast(v); } data->push_back(val); } return data; } #define MAKE_COMPRESSION_TEST(NAME, isDouble, file, scale) \ static void BM_fileDataCompression##NAME(benchmark::State& state) { \ auto data = readFileData(file, isDouble, scale); \ benchmarkCompress(state, *data); \ delete data; \ } MAKE_COMPRESSION_TEST(A, true, "data/ibm.data", 0) BENCHMARK(BM_fileDataCompressionA); MAKE_COMPRESSION_TEST(B, true, "data/ibm.data", 10000) BENCHMARK(BM_fileDataCompressionB); MAKE_COMPRESSION_TEST(C, false, "data/writes.data", 0) BENCHMARK(BM_fileDataCompressionC); MAKE_COMPRESSION_TEST(D, false, "data/redis_memory.data", 0) BENCHMARK(BM_fileDataCompressionD); #define MAKE_DECOMPRESSION_TEST(NAME, isDouble, file, scale) \ static void BM_fileDataDecompression##NAME(benchmark::State& state) { \ auto data = readFileData(file, isDouble, scale); \ benchmarkDecompress(state, *data); \ delete data; \ } MAKE_DECOMPRESSION_TEST(A, true, "data/ibm.data", 0) BENCHMARK(BM_fileDataDecompressionA); MAKE_DECOMPRESSION_TEST(B, true, "data/ibm.data", 10000) BENCHMARK(BM_fileDataDecompressionB); MAKE_DECOMPRESSION_TEST(C, false, "data/writes.data", 0) BENCHMARK(BM_fileDataDecompressionC); MAKE_DECOMPRESSION_TEST(D, false, "data/redis_memory.data", 0) BENCHMARK(BM_fileDataDecompressionD); BENCHMARK_MAIN(); ================================================ FILE: gtest/test.cpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include #include #include #include #include #include #include #include #include #include "../scalar.hpp" #ifdef USE_AVX512 #include "../avx512.hpp" #endif using namespace std; namespace middleout { template void checkFunctions(vector& dataIn, T& compress, U& decompress) { size_t count = dataIn.size(); vector compressed(Scalar::maxCompressedSize(count)); size_t compressLength = compress(dataIn, compressed); ASSERT_NE(compressLength, 0) << "Not compressed"; // hard copy, guaranteed vector boundary vector compressedExactLength(compressed.begin(), compressed.begin() + compressLength + 1); vector dataOut(count); decompress(compressedExactLength, count, dataOut); for (size_t i = 0; i < count; i++) { ASSERT_EQ(dataIn[i], dataOut[i]) << "data do not match. Index: " << i; } // if (dataIn.size() > 2000) { // cout << "Orig. length: " << 8 * dataIn.size() << " Compressed: " << compressLength // << " Ratio: " << 8.0 * dataIn.size() / compressLength << endl; // } } template void compressDecompressCheck(vector& dataIn) { checkFunctions(dataIn, Scalar::compress, Scalar::decompress); #ifdef USE_AVX512 checkFunctions(dataIn, Avx52::compress, Avx52::decompress); // test implementation compatibility checkFunctions(dataIn, Scalar::compress, Avx52::decompress); #endif } vector* generateSequece(long from, long to) { auto data = new vector(to - from); for (long i = 0; i < (to - from); i++) { (*data)[i] = from + i; } return data; } void testSequence(long from, long to) { auto data = generateSequece(from, to); compressDecompressCheck(*data); delete data; } std::vector* generateSequeceDecimal(double from, double to, double step) { auto data = new std::vector(to - from); (*data)[0] = 0.213; double val = 0.1; for (long i = 1; i < (to - from); i++) { if (i % 3) { (*data)[i] = (*data)[i - 1]; } else { (*data)[i] = val * i; } } return data; } void testSequenceDecimal(double from, double to) { double steps[] = {0.1, 0.01, 0.001, 0.03, 0.000001, 0.000037, 0.000000000001}; for (double step : steps) { auto data = generateSequeceDecimal(from, to, step); compressDecompressCheck(*data); delete data; } } void testRDRAndomDistribution(double from, double to) { size_t count = 3 * 1000 * 1000; vector data(count); // better rand std::random_device rd; std::mt19937 mt(rd()); std::uniform_real_distribution dist(from, to); for (size_t i = 0; i < count; i++) { data[i] = static_cast(dist(mt)); } compressDecompressCheck(data); } TEST(CompressionTest, exampleCompressRatioTest) { std::ifstream infile("data/ibm.data"); std::vector data; std::string line; while (std::getline(infile, line)) { long price100x = 10000 * std::stod(line); double f = reinterpret_cast(price100x); data.push_back(f); } std::cout << "orig size: " << data.size() * 8 << std::endl; int64_t origSize = data.size() * sizeof(double); int64_t newSize = Scalar::compressSimple(data)->size(); std::cout << "new size: " << newSize << std::endl; std::cout << "ratio: " << (double)origSize / newSize << std::endl; } TEST(CompressionTest, basicTest) { vector data; data = {1, 3, 4, 2, 1, 3, 7, 5, 16, 8, 8, 3, 7, 5, 16, 8, 8, 3}; compressDecompressCheck(data); data = {1}; compressDecompressCheck(data); data = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1}; compressDecompressCheck(data); data = {-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1}; compressDecompressCheck(data); data = {-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1}; compressDecompressCheck(data); data = {1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1}; compressDecompressCheck(data); data.assign(1000, 0xFF); compressDecompressCheck(data); data.assign(1000, -1); compressDecompressCheck(data); data.assign(1000, -129); compressDecompressCheck(data); data = {37, 15, 34, 47, 10, 83, 10, 87, 20, 1, 54, 80, 24, 82, 82, 0, 30, 11, 9, 7, 62, 25, 12, 71, 92, 7, 21, 57, 62, 52, 48, 39, 57, 62, 7, 97, 16, 92, 4, 77, 4, 57, 67, 59, 60, 15, 22, 87, 85, 72, 73, 15, 21, 10, 66, 45, 14, 42, 44, 58, 57, 74, 14, 16, 34, 90, 76, 8, 52, 34, 89, 47, 72, 94, 19, 62, 60, 19, 69, 21, 55, 75, 37, 70, 98, 88, 78, 96, 23, 60, 61, 49, 70, 71, 16, 51, 83, 49, 91, 13}; compressDecompressCheck(data); data = {1583615825, 1104566865, 1 << 10, 151512957, 151512957151512957, 9223372036854775807, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1}; compressDecompressCheck(data); data = {581852851, 542359410, 1765458614, 184474295, 1462380312, 1509678522, 2091142647, 1491358325, 268670595, 1988704588, 104651035, 1879839687, 1294088155, 2070259996, 1194255693, 1142067077, 1033565988, 288841850, 656431651, 1523767369, 1407061474, 622864439, 1086922039, 2129958271, 1276318908, 979442622, 1321791732, 2813034, 1266963838, 1788621486, 1179015077, 1848816690, 183497248, 796990043, 2033290985, 1645877561, 159184917, 1976949985, 989752238, 427855512, 1818170925, 1094403273, 160211551, 964775432, 1017179621, 1354467245, 2106842510, 2050745610, 1643309095, 615790513, 1427029331, 902886921, 1238654952, 366467722, 885361544, 367490212, 1345910345, 59669629, 370303247, 465390535, 1848291115, 1549318324, 166723577, 2031788364, 198824719, 52530915, 1530182277, 358009636, 2029480900, 372450867, 785865148, 1700168177, 1466854141, 946076699, 517459962, 336550114, 153060296, 476818824, 239812076, 1796369391, 1092609337, 1666841407, 551772664, 183780641, 2033309130, 1437134209, 551270854, 1231735827, 1496803838, 921574101, 1697126362, 1197611305, 323408777, 1863849940, 1081916021, 522233496, 1916380855, 464614650, 880243132, 1798378107}; compressDecompressCheck(data); data = {227165578, 386567434, 354437181, 1897514693, 972009470, 663111646, 1377740108, 189132208, 385295700, 814750726, 1883440200, 350197716, 1098359387, 1553174924, 474677958, 1483963562, 1845836834, 612078950, 1098907035, 973762126, 281222771, 495565493, 599600670, 449282427, 68654770, 556197552, 138769256, 1309961135, 289887917, 522165933, 569180592, 517053496, 908733367, 923617773, 267084541, 1880742837, 1586729420, 1644824650, 2069875045, 1972025120, 312091728, 1805831598, 174739188, 1410451115, 1211522874, 649417147, 746931030, 909876060, 1261496097, 1845838065, 1883638187, 1542718868, 193919911, 335755209, 1992001296, 262574681, 891952761, 2130770552, 1572535816, 1181840678}; compressDecompressCheck(data); } TEST(CompressionTest, testSequences) { testSequence(0, 100); testSequence(0, 123); testSequence(0, 47); testSequence(0, 8000); testSequence(20, 50); testSequence(20, 23); testSequence(20, 29); testSequence(20, 30); testSequence(0, 1000 * 1000); testSequence(2147483647, 2147483647L + 1000); testSequence(9223372036854775807 - 1000, 9223372036854775807); testSequence(-9223372036854775800, -9223372036854774000); testSequence(0, 3 * 1000 * 1000); } TEST(CompressionTest, testDifferentInputDataLength) { for (size_t i = 1; i < 2000; i++) { testSequence(0, i); } } TEST(CompressionTest, testRandom) { size_t count = 3 * 1000 * 1000; vector data(count); srand(time(NULL)); for (size_t i = 0; i < count; i++) { data[i] = (long)rand(); } compressDecompressCheck(data); } TEST(CompressionTest, testRDRandom) { testRDRAndomDistribution(0, 100); testRDRAndomDistribution(0, 10000); testRDRAndomDistribution(0, 10000000000); testRDRAndomDistribution(0, 9223372036854775807); testRDRAndomDistribution(1, 3); } TEST(CompressionTest, testVarLength) { for (size_t i = 1; i < 1000; i++) { testSequence(0, i); } } TEST(CompressionTest, testSteps) { std::array steps = {2, 254, 255 * 255, 255 * 255 * 255, 255L * 255 * 255 * 255}; for (const auto& step : steps) { vector data(10000); data[0] = 0; for (size_t i = 1; i < 10000; i++) { data[i] = data[i - 1] + step; } compressDecompressCheck(data); } } TEST(CompressionTest, testAlteringSeq) { vector data(1 * 1000 * 1000); size_t p = 0; while (1) { // 20X repeat sequence for (size_t j = 200; j < 400; j++) { // 10 seqences for (size_t k = 0; k < 10; k++) { // length of seq run for (size_t i = 0; i < j; i++) { data[p++] = k; if (p == data.size()) { compressDecompressCheck(data); return; } } } } } } TEST(CompressionTest, test50PercentMonotonic) { size_t size = 1 * 1000 * 1000; vector data(size); data[0] = 1256; for (size_t i = 1; i < size; i++) { for (size_t j = 0; i < size && j < 10; i++, j++) { data[i] = data[i - 1]; } for (size_t j = 0; i < size && j < 10; i++, j++) { data[i] = i; } } compressDecompressCheck(data); } TEST(CompressionTest, testVarSEqLength) { vector data; long val = 950263344478331918; for (size_t i = 0; i < 1000; i++) { for (size_t j = 0; j < i; j++) { data.push_back(val); } val++; } compressDecompressCheck(data); } TEST(CompressionTest, testConstantSequenceDiffLength) { vector data; long val = 950263344478331918; for (size_t i = 0; i < 1024 + 8; i++) { for (size_t j = 0; j < i; j++) { data.push_back(val); } } compressDecompressCheck(data); } TEST(CompressionTest, testSimpleAPI) { size_t count = 10000; auto dataIn = generateSequece(0, count); auto compressed = Scalar::compressSimple(*dataIn); ASSERT_NE(compressed->size(), 0) << "Not compressed"; vector dataOut(count); Scalar::decompress(*compressed, count, dataOut); for (size_t i = 0; i < count; i++) { ASSERT_EQ((*dataIn)[i], dataOut[i]) << "data do not match"; } #ifdef USE_AVX512 compressed = Avx52::compressSimple(*dataIn); ASSERT_NE(compressed->size(), 0) << "Not compressed"; Avx52::decompress(*compressed, count, dataOut); for (size_t i = 0; i < count; i++) { ASSERT_EQ((*dataIn)[i], dataOut[i]) << "data do not match"; } #endif delete dataIn; } TEST(CompressionTest, testSignChangeAltering) { vector data; for (size_t i = 0; i < 10000; i++) { if (i % 2) { data.push_back(i); } else { data.push_back(-1 * i); } } compressDecompressCheck(data); } TEST(CompressionTest, testSequencesDecimal) { testSequenceDecimal(0, 100); testSequenceDecimal(0, 123); testSequenceDecimal(0, 47); testSequenceDecimal(0, 8000); testSequenceDecimal(20, 50); testSequenceDecimal(20, 23); testSequenceDecimal(20, 29); testSequenceDecimal(20, 30); testSequenceDecimal(2147483647, 2147483647L + 1000); testSequenceDecimal(9223372036854775807 - 1000, 9223372036854775807); testSequenceDecimal(-9223372036854775800, -9223372036854774000); testSequenceDecimal(0, 3 * 1000 * 1000); } TEST(CompressionTest, testVersionByte) { auto data = generateSequece(0, 200); auto compressed = Scalar::compressSimple(*data); ASSERT_EQ(compressed->at(compressed->size() - 7), 0x7E) << "Missing data header"; #ifdef USE_AVX512 compressed = Avx52::compressSimple(*data); ASSERT_EQ(compressed->at(compressed->size() - 7), 0x7E) << "Missing data header"; #endif delete data; } } // end namespace middleout ================================================ FILE: helpers.hpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include #include #include #include #include #ifndef HELPERS_H #define HELPERS_H namespace middleout { // AVX512 vector of doubles const size_t VECTOR_SIZE = 8; const size_t MIN_DATA_SIZE_COMPRESSION_TRESHOLD = 2 * VECTOR_SIZE; // // INLINE FUNCTIONS // /* floors number to base of 8 */ inline int floor8(int x) { return x & ~7; } /* ceils number to base of 8 */ inline int ceil8(int x) { return (x + 7) & ~7; } inline uint64_t clearTopBits(uint64_t data, uint64_t bitsCount) { uint64_t clearBase = ~0; return data & (clearBase >> bitsCount); } inline int getBytesLengthOfOffsets(int offsetsCount) { // * 3 = bits per one offset // + 7 = round up to bytes // >> = get number of bytes return (offsetsCount * 3 + 7) >> 3; } #ifdef USE_AVX512 inline __m512i clearTopBits(__m512i toClear, uint64_t bitsCount) { // uint64_t clearBase = ~0; // return data & (clearBase >> bitsCount); __m512i clearBase = _mm512_set1_epi64(~0); return _mm512_and_epi64(toClear, _mm512_srli_epi64(clearBase, bitsCount)); } #endif template void fillStart(std::vector& data, std::vector& output, size_t blockSize) { T* outAsLong = reinterpret_cast(output.data()); for (size_t i = 0; i < VECTOR_SIZE; i++) { outAsLong[i] = data[blockSize * i]; } } template size_t doNotCompressTheData(std::vector& data, std::vector& output) { auto asLong = reinterpret_cast(output.data()); for (size_t i = 0; i < data.size(); i++) { asLong[i] = data[i]; } return sizeof(T) * data.size(); } template void doNotDecompressTheData(std::vector& input, size_t inputElements, std::vector& data) { auto asLong = reinterpret_cast(input.data()); for (size_t i = 0; i < inputElements; i++) { data[i] = asLong[i]; } } } // end namespace middleout #endif /* HELPERS_H */ ================================================ FILE: middleout.cpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include #include #include #include #include "middleout.hpp" #ifdef USE_AVX512 #include "avx512.hpp" #define ALG_CLASS Avx52 #else #include "scalar.hpp" #define ALG_CLASS Scalar #endif namespace middleout { std::unique_ptr> compressSimple(std::vector& data) { return ALG_CLASS::compressSimple(data); } std::unique_ptr> compressSimple(std::vector& data) { return ALG_CLASS::compressSimple(data); } size_t compress(std::vector& data, std::vector& output) { return ALG_CLASS::compress(data, output); } size_t compress(std::vector& data, std::vector& output) { return ALG_CLASS::compress(data, output); } void decompress(std::vector& input, size_t inputElements, std::vector& data) { return ALG_CLASS::decompress(input, inputElements, data); } void decompress(std::vector& input, size_t inputElements, std::vector& data) { return ALG_CLASS::decompress(input, inputElements, data); } size_t maxCompressedSize(size_t count) { return ALG_CLASS::maxCompressedSize(count); } } // end namespace middleout ================================================ FILE: middleout.hpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include #include #include #include #include #ifndef MIDDLEOUT_H_ #define MIDDLEOUT_H_ namespace middleout { std::unique_ptr> compressSimple(std::vector& data); std::unique_ptr> compressSimple(std::vector& data); size_t compress(std::vector& data, std::vector& output); size_t compress(std::vector& data, std::vector& output); void decompress(std::vector& input, size_t itemsCount, std::vector& data); void decompress(std::vector& input, size_t itemsCount, std::vector& data); size_t maxCompressedSize(size_t count); } // end namespace middleout #endif // MIDDLEOUT_H_ ================================================ FILE: scalar.cpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include "scalar.hpp" #include "helpers.hpp" #include #include #include #include namespace middleout { template class Scalar; template class Scalar; template class Scalar; template Scalar::Scalar() {} template std::unique_ptr> Scalar::compressSimple(std::vector& data) { std::unique_ptr> compressed( new std::vector(Scalar::maxCompressedSize(data.size()))); size_t size = Scalar::compress(data, *compressed); compressed->resize(size); compressed->shrink_to_fit(); return compressed; } /* AVX 512 block compatible */ template size_t Scalar::compress(std::vector& data, std::vector& output) { if (data.size() <= MIN_DATA_SIZE_COMPRESSION_TRESHOLD) { // not enough data to compress return doNotCompressTheData(data, output); } // skip first 8 init values size_t outputIndex = sizeof(int64_t) * VECTOR_SIZE; // "middle-out" data block size size_t blockSize = data.size() / VECTOR_SIZE; // just copy init reference values fillStart(data, output, blockSize); // main compression loop for (size_t i = 1; i < blockSize; i += 1) { uint8_t sameMask = 0; // bit mask if current value is same as previous one int maxLength = 0; // max (within 8 values) length of compressed value in bytes // offset within xored value is number of bytes from right where starts non-zero bits after // xored with the previous value (rounded down to bytes). // These values are 3bits and are stored (scattered) in 3 bottom bytes of this int uint32_t compressedOffsets = 0; // store xored and accordingly alligned (shifted) values in temp array // temp array allows perform compression logic wihout loop dependency uint64_t xoredShifted[8] = {0, 0, 0, 0, 0, 0, 0, 0}; // if set, store index for next value will be shifted and stored data would not be overriten int dataStoreFlags[8] = {0, 0, 0, 0, 0, 0, 0, 0}; uint32_t offsetsShift = 3; // skip 3 bits for max length int notSameCount = 0; for (size_t j = 0; j < VECTOR_SIZE; j++) { // offset within input vector size_t offset = blockSize * j + i; // previous value - used for xor int64_t prev = reinterpret_cast(data[offset - 1]); int64_t curr = reinterpret_cast(data[offset]); // xore current value with previous int64_t xored = prev xor curr; // if data did not change if (xored == 0) { // is same as previous value // just set appropriate bit sameMask = sameMask | (1 << j); continue; } // this value will be stored dataStoreFlags[j] = 1; int leadingZeros = __builtin_clzl(xored); int trailingZeros = __builtin_ctzl(xored); int rightOffsetBits = floor8(trailingZeros); int rightOffsetBytes = trailingZeros >> 3; int leadingZerosBytes = leadingZeros >> 3; int trailingZerosBytes = trailingZeros >> 3; // compute length of non-zero data wihin xored value int lengthBytes = 8 - leadingZerosBytes - trailingZerosBytes; maxLength = std::max(lengthBytes, maxLength); // scatter current offset compressedOffsets |= rightOffsetBytes << offsetsShift; offsetsShift += 3; notSameCount++; // write value to tmp array aligned to right xoredShifted[j] = xored >> rightOffsetBits; } output[outputIndex++] = sameMask; // do not store max length and offsets if all values are the same if (sameMask == 0b11111111) { continue; } int* outAsInts = reinterpret_cast(&output[outputIndex]); // write 4 bytes with allready writed data and scattered offsets // -1 becasue we need to store only values 1-8, so 3 bits are enought outAsInts[0] = compressedOffsets | (maxLength - 1); // skip bytes poluted by offsets, rouded up to bytes // yes, we waste here some bits, but it is for the sake of performance // +1 because first 3 bits are maxLength outputIndex += getBytesLengthOfOffsets(notSameCount + 1); // write prepared data for (size_t j = 0; j < VECTOR_SIZE; j++) { T* outAsLongs = reinterpret_cast(&output[outputIndex]); outAsLongs[0] = reinterpret_cast(xoredShifted[j]); // shift index outputIndex += dataStoreFlags[j] * maxLength; } } // write rest of the data without any compression for (size_t i = blockSize * VECTOR_SIZE; i < data.size(); i++) { T* outAsLongs = reinterpret_cast(&output[outputIndex]); outAsLongs[0] = data[i]; outputIndex += sizeof(T); } // write compress algorithm version and datatype constant output[outputIndex++] = 0x7E; //== 0b01111110 // to avoid access to invalid memory on decompression return outputIndex + 6; } // // DECOMPRESSION // template inline void decompressValue(const size_t j, const long blockSize, std::vector& input, std::vector& data, uint64_t clearTopBitMask, size_t* inputIndex, const long i, int* offsetsShift, uint8_t maxLength, uint32_t compresedOffsets, uint8_t sameMask) { // middle-out offset size_t offset = blockSize * j + i; uint64_t prev = reinterpret_cast(data[offset - 1]); // get number of bits to shift xored data block // - shift to get current's block offset: >> offsetsShift // - zero unused bits: & 0b111 // - shift back to count in bits not bytes: << 3 int shiftBits = ((compresedOffsets >> *offsetsShift) & 0b111) * 8; // get data from unaligned possition uint64_t toXor = reinterpret_cast(&input[*inputIndex])[0]; // clear unused bytes toXor &= clearTopBitMask; // save result to variable, may not be usefull because of isSameMask bit uint64_t result = prev xor (toXor << shiftBits); // test bit on j-th possition int isSame = sameMask & (1 << j); // index would be moved by length of offsets in bytes int modifiedOffsetsShifts = *offsetsShift + 3; /* Conditionally set final data (result of xor operation or previous value) Conditionally increment inputIndex if data were consumed */ size_t newInputIndex = *inputIndex; size_t modifiedInputIndex = *inputIndex + maxLength; int newOffsetsShift = *offsetsShift; // make conditional assignmens as cmovs // compiler didn't took this optimalization (nor even on ternal operators) __asm( "cmpl $0, %[isSame]; \t\n\ cmove %[modifiedOffsetsShifts], %[newOffsetsShift]; \t\n\ cmove %[result], %[prev]; \t\n\ cmove %[modifiedInputIndex], %[newInputIndex];" : [newOffsetsShift] "+r"(newOffsetsShift), // offset shift final value [prev] "+r"(prev), // final value of data [newInputIndex] "+r"(newInputIndex) // final value of index in stream : [isSame] "r"(isSame), // anded mask [modifiedOffsetsShifts] "r"(modifiedOffsetsShifts), // offset as if stream was consumed [result] "r"(result), // value as if stream was consumed [modifiedInputIndex] "r"(modifiedInputIndex) // offset of stream if values was consumed : "cc" // cmpl instructions sets cc flags ); // write final data data[offset] = reinterpret_cast(prev); // these assignments are optimized by compiler (happens in inline asm) *inputIndex = newInputIndex; *offsetsShift = newOffsetsShift; } template inline void decompressBlock(std::vector& input, std::vector& data, size_t* inputIndex, const long blockSize, const long i) { // read mask of same values uint8_t sameMask = input[(*inputIndex)++]; size_t startInputIndex = *inputIndex; // check this only on a last few iteration (saves us a branching) // checking is for preventing access to unallocated data if (CECK_FOR_ALL_SAME) { if (sameMask == 0b11111111) { // just copy prev values for (size_t j = 0; j < VECTOR_SIZE; j++) { size_t offset = blockSize * j + i; data[offset] = data[offset - 1]; } return; } } // read unaligned offsets uint32_t compresedOffsetsAndMaxLength = reinterpret_cast(&input[*inputIndex])[0]; // +1 because only 3 bits are stored and valid lengths are 1-8 uint8_t maxLength = (compresedOffsetsAndMaxLength & 0b111) + 1; // lookup table for next two lines is *not* faster int sameCount = __builtin_popcount(sameMask); // move input stream cursor by offsets header *inputIndex += getBytesLengthOfOffsets(VECTOR_SIZE - sameCount + 1); // cursor within offsets header int offsetsShift = 3; // skip 3 bits for maxLength // set mask for clear upper bits before xoring uint64_t clearTopBitMask = ~((uint64_t)0) >> (64 - 8 * maxLength); // manual unroll, some compilers do not like inline asm in body of loop for unroll #define CALL_DECOMPRESS_VALUE(POSITION) \ decompressValue(POSITION, blockSize, input, data, clearTopBitMask, inputIndex, i, \ &offsetsShift, maxLength, compresedOffsetsAndMaxLength, sameMask); CALL_DECOMPRESS_VALUE(0) CALL_DECOMPRESS_VALUE(1) CALL_DECOMPRESS_VALUE(2) CALL_DECOMPRESS_VALUE(3) CALL_DECOMPRESS_VALUE(4) CALL_DECOMPRESS_VALUE(5) CALL_DECOMPRESS_VALUE(6) CALL_DECOMPRESS_VALUE(7) // variable for cmov result size_t inputIndexFinal = *inputIndex; /* prevent conditional jumps by cmov instruction Just revert input stream index if metadata would not been consumed */ __asm( "cmpl $0b11111111, %[sameMask]; \t\n\ cmove %[startInputIndex], %[inputIndexFinal];" : [inputIndexFinal] "+r"(inputIndexFinal) : [sameMask] "r"((int)sameMask), [startInputIndex] "r"(startInputIndex) : "cc"); *inputIndex = inputIndexFinal; } template void Scalar::decompress(std::vector& input, size_t inputElements, std::vector& data) { // not enough data to compress if (inputElements <= MIN_DATA_SIZE_COMPRESSION_TRESHOLD) { return doNotDecompressTheData(input, inputElements, data); } // middle-out block size long blockSize = inputElements / VECTOR_SIZE; // copy first ref. values for (size_t i = 0; i < VECTOR_SIZE; i++) { data[blockSize * i] = (reinterpret_cast(input.data()))[i]; } // skip first 8 init values size_t inputIndex = sizeof(int64_t) * VECTOR_SIZE; // main decompression loop long blockIndex = 1; // boundary check for last 5 values (there potentially could be 5 bytes read ahead, that means // max 5 blocks of data) for (; blockIndex < blockSize - 5; blockIndex++) { decompressBlock(input, data, &inputIndex, blockSize, blockIndex); } for (; blockIndex < blockSize; blockIndex++) { // decompress last 5 blocks with boundary check (skip code if all elements are the same) decompressBlock(input, data, &inputIndex, blockSize, blockIndex); } // copy rest of data (uncompressed) for (size_t i = blockSize * VECTOR_SIZE; i < inputElements; i++) { data[i] = (reinterpret_cast(&input[inputIndex]))[0]; inputIndex += sizeof(int64_t); } } } // end namespace middleout ================================================ FILE: scalar.hpp ================================================ /* Copyright (c) 2017, Schizofreny s.r.o - info@schizofreny.com All rights reserved. See LICENSE.md file */ #include #include #include #include #ifndef SCALAR2_H #define SCALAR2_H namespace middleout { template class Scalar { static_assert(sizeof(T) == 8, "Must use datatype with length of 8 bytes."); public: Scalar(); static std::unique_ptr> compressSimple(std::vector& data); static size_t compress(std::vector& data, std::vector& output); static void decompress(std::vector& input, size_t itemsCount, std::vector& data); static size_t maxCompressedSize(size_t count) { size_t blockCount = count / 8; // 8*8 : init reference values // 5*blockClount : max size of block headers // 8*8*blockCount : max size of xored data: 8 bytes * 8 values // 8*(count%8) : uncompressed rest of values return 8 * 8 + blockCount * 5 + 8 * 8 * blockCount + 8 * (count % 8); } }; } // end namespace middleout #endif /* SCALAR2_H */