Full Code of nickbabcock/highway-rs for AI

Repository: nickbabcock/highway-rs
Branch: master
Commit: 6e3fbcea9df8
Files: 43
Total size: 812.6 KB

Directory structure:
gitextract_xno9aspu/

├── .github/
│   ├── dependabot.yml
│   └── workflows/
│       └── main.yml
├── .gitignore
├── .gitmodules
├── CHANGELOG.md
├── Cargo.toml
├── LICENSE.txt
├── README.md
├── assets/
│   ├── analysis.R
│   ├── avx-crash-1
│   ├── highway.csv
│   └── portable-crash-1
├── benches/
│   └── bench_hashes.rs
├── compare/
│   ├── Cargo.toml
│   └── benches/
│       └── bench_hashes.rs
├── examples/
│   ├── hwysum.rs
│   └── no_panic.rs
├── fuzz/
│   ├── .gitignore
│   ├── Cargo.toml
│   ├── build.rs
│   └── fuzz_targets/
│       └── fuzz_highway.rs
├── release.toml
├── src/
│   ├── aarch64.rs
│   ├── builder.rs
│   ├── hash.rs
│   ├── internal.rs
│   ├── key.rs
│   ├── lib.rs
│   ├── macros.rs
│   ├── portable.rs
│   ├── traits.rs
│   ├── wasm.rs
│   └── x86/
│       ├── avx.rs
│       ├── macros.rs
│       ├── mod.rs
│       ├── sse.rs
│       ├── v2x64u.rs
│       └── v4x64u.rs
└── tests/
    ├── aarch64.rs
    ├── hash.rs
    ├── properties.rs
    ├── traits.rs
    └── wasm.rs

================================================
FILE CONTENTS
================================================

================================================
FILE: .github/dependabot.yml
================================================
version: 2
updates:
- package-ecosystem: cargo
  directory: "/"
  schedule:
    interval: daily
  open-pull-requests-limit: 10


================================================
FILE: .github/workflows/main.yml
================================================
name: ci
on:
  pull_request:
  push:
    branches:
    - master
  schedule:
  - cron: '00 01 * * *'

jobs:
  test:
    name: test
    env:
      # For some builds, we use cross to test on 32-bit and big-endian
      # systems.
      CARGO: cargo
      # When CARGO is set to CROSS, TARGET is set to `--target matrix.target`.
      TARGET:
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        build:
        - pinned
        - stable
        - stable-32
        - big-endian
        - beta
        - nightly
        - macos
        - win-msvc
        - win-gnu
        - aarch64-unknown-linux-gnu
        include:
        - build: pinned
          os: ubuntu-latest
          rust: 1.59.0
        - build: stable
          os: ubuntu-latest
          rust: stable
        - build: stable-32
          os: ubuntu-latest
          rust: stable
          target: i686-unknown-linux-gnu
        - build: big-endian
          os: ubuntu-latest
          rust: stable
          target: powerpc64-unknown-linux-gnu
        - build: beta
          os: ubuntu-latest
          rust: beta
        - build: nightly
          os: ubuntu-latest
          rust: nightly
        - build: macos
          os: macos-latest
          rust: stable
        - build: win-msvc
          os: windows-latest
          rust: stable
        - build: win-gnu
          os: windows-latest
          rust: stable-x86_64-gnu
        - build: aarch64-unknown-linux-gnu
          os: ubuntu-latest
          rust: stable
          target: aarch64-unknown-linux-gnu
    steps:
    - name: Checkout repository
      uses: actions/checkout@v4
      with:
        submodules: true

    - name: Install Rust
      uses: dtolnay/rust-toolchain@master
      with:
        toolchain: ${{ matrix.rust }}

    - name: Use Cross
      if: matrix.target != ''
      run: |
        cargo install cross
        echo "CARGO=cross" >> $GITHUB_ENV
        echo "TARGET=--target ${{ matrix.target }}" >> $GITHUB_ENV

    - name: Build
      run: ${{ env.CARGO }} build --verbose $TARGET

    - name: Build docs
      run: ${{ env.CARGO }} doc --verbose $TARGET

    - name: Tests
      if: matrix.build != 'pinned'
      run: ${{ env.CARGO }} test --verbose $TARGET

    - name: No Std Tests
      if: matrix.build != 'pinned'
      run: ${{ env.CARGO }} test --no-default-features --verbose $TARGET

      # If you are wondering why we run tests in release mode, it's
      # because sometimes tests in debug mode hide undefined behavior:
      # https://stackoverflow.com/q/52433389/433785
    - name: Release tests
      if: matrix.build != 'pinned'
      run: ${{ env.CARGO }} test --release --verbose $TARGET

    - name: No panic tests
      if: matrix.build != 'pinned'
      run: ${{ env.CARGO }} build --release --verbose $TARGET --example no_panic

    - name: Compile benchmarks
      if: matrix.build == 'stable'
      run: cargo bench --verbose --no-run $TARGET

    - name: Run miri
      if: matrix.build == 'nightly'
      run: |
        rustup toolchain install nightly --component miri
        cargo miri setup
        cargo miri test

    - name: Compile fuzz
      if: matrix.build == 'nightly'
      run: |
        cargo install cargo-fuzz
        cargo fuzz build fuzz_highway

  wasm:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout repository
      uses: actions/checkout@v4

    - uses: actions/setup-node@v4
      with:
        node-version: 20

    - name: Install Rust
      uses: dtolnay/rust-toolchain@stable
      with:
        targets: wasm32-unknown-unknown

    - name: Install wasm-pack
      run: curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh

    - name: Build (no SIMD)
      run: RUSTFLAGS="-C target-feature=-simd128" cargo build --target wasm32-unknown-unknown

    - name: Run tests (with SIMD)
      run: RUSTFLAGS="-C target-feature=+simd128" wasm-pack test --node -- --verbose

  instructions:
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        feature: ["-sse4.1,-avx2", "-sse4.1,+avx2", "+sse4.1,+avx2", "+sse4.1,-avx2"]
    steps:
    - uses: actions/checkout@v4
    - name: Test
      run: RUSTFLAGS="-C target-feature=${{matrix.feature}}" cargo test --verbose
    - name: No Std Tests
      run: RUSTFLAGS="-C target-feature=${{matrix.feature}}" cargo test --no-default-features --verbose


================================================
FILE: .gitignore
================================================
**/target
**/*.rs.bk
Cargo.lock


================================================
FILE: .gitmodules
================================================
[submodule "fuzz/highwayhash"]
	path = fuzz/highwayhash
	url = https://github.com/google/highwayhash.git


================================================
FILE: CHANGELOG.md
================================================
## v1.3.0 - 2025-01-11

- Add the ability to checkpoint hashing state and resume it with another hasher. This feature is designated as experimental until more feedback is gathered.
- Fix Wasm SIMD, provably does not panic anymore

## v1.2.0 - 2024-06-21

- x86 SSE implementation now provably can't panic
- `HighwayHasher` debug representation now exhaustive
- Removed all `unsafe` Wasm SIMD implementation at no cost

## v1.1.0 - 2023-06-30

This release contains only performance optimizations:

- `PortableHash` throughput increases by 10-15% for all input
- `HighwayHasher` throughput increases by 20-60% for inputs under 1KB
- All hashing implementations received size efficiency improvements

## v1.0.0 - 2023-02-28

v1.0 is a re-release of v0.8.1 with the following changes that should have no observable effect

- Update to 2021 edition
- Simplify buffer filling logic

## v0.8.1 - 2022-10-11

- Annotate hashing constructors with `#[must_use]`
- A small performance increase, mainly for the portable implementation (other hashers may benefited as well), by eliminating all emitted panics
- Minor pedantic clippy lints applied

## v0.8.0 - 2022-02-28

- The `HighwayBuilder` type has been removed in favor of the former alias `HighwayHasher`
- Add Neon SIMD implementation for aarch64 targets which enabled throughput improvements of over 4x. The downside with this implementation is that all aarch64 environments are assumed to support NEON SIMD. Thus, aarch64 environments without NEON SIMD are not supported.
- Minimum supported rust version updated to 1.59 for aarch64 targets

## v0.7.0 - 2021-12-12

- Update minimum supported rust to 1.54
- Add Wasm SIMD implementation for 3x performance gain. See readme for caveats and how to opt-in
- `no_std` builds will use a SIMD implementation when opted in at compile time

## v0.6.4 - 2021-04-16

Allow for forwards compatibility with later rust compilers due to changes in some AVX2 usage

## v0.6.3 - 2020-12-04

Extremely minor update that removes the last vestiges of `unsafe` from the portable implementation -- without sacrificing performance. No changes in behavior.

## v0.6.2 - 2020-11-19

Fix hash calculation on big endian platforms. This regression was introduced in v0.5.0 and all users are advised to upgrade.

## v0.6.1 - 2020-11-08

No code changes -- just some docs updates and this crate is now tagged with the `hasher` keyword.

## v0.6.0 - 2020-10-25

- `no_std` compatible when default cargo features are disabled. To get SIMD implementations, one will need to call the `force_new` constructors explicitly.
- All highway hash implementations now implement the `Hasher` and `Write` trait
- Make `HighwayHasher` an alias to `HighwayBuilder` and recommend the use of `HighwayHasher` in documentation

## v0.5.0 - 2020-06-24

- 60% throughput increase to the portable highway hash implementation

## v0.4.0 - 2020-05-09

- Highway-rs is now dependency free!
- Use rust 2018 edition
- **Breaking change**: hashes take an owned `Key` instead of a reference. This is not only better API design, but it could also lead to marginal better performance as the hash implementations would clone the reference regardless. Unfortunately, it is a breaking change, but one should only need to remove an ampersand.

## v0.3.0 - 2019-08-08

Allow the use of highway hash in standard rust collections

```rust
use std::collections::HashMap;
use highway::{HighwayBuildHasher, Key};
let mut map =
  HashMap::with_hasher(HighwayBuildHasher::new(Key([
    0xcbf29ce484222325,
    0xc3a5c85c97cb3127,
    0xb492b66fbe98f273,
    0x9ae16a3b2f90404f,
  ])));

map.insert(1, 2);
assert_eq!(map.get(&1), Some(&2));
```

Or if utilizing a key is not important, one can use the default

```rust
use std::collections::HashMap;
use std::hash::BuildHasherDefault;
use highway::HighwayHasher;
let mut map =
  HashMap::with_hasher(BuildHasherDefault::<HighwayHasher>::default());

map.insert(1, 2);
assert_eq!(map.get(&1), Some(&2));
```

- Added clone implementations to many structures
- impl Default for HighwayBuilder

## v0.2.0 - 2019-05-25

- Change 128bit hash return type from u128 to [u64; 2] to match the return type from the reference implementation
- Change 256bit hash return type from (u128, u128) to [u64; 4] to match the return type from the reference implementation

You can use the following code to migrate the current return types to the old ones.

```rust
fn u64_to_u128(data: &[u64]) -> u128 {
    u128::from(data[0]) + (u128::from(data[1]) << 64)
}

fn u64_to_u256(data: &[u64]) -> (u128, u128) {
    (u64_to_u128(data), u64_to_u128(&data[2..]))
}
```

## v0.1.4 - 2018-10-01

- Fix: debug arithmetic overflow panic in portable hash

## v0.1.3 - 2018-09-30

- Remove `SseHash::finalize64` as part of public API (accidentally included)

## v0.1.2 - 2018-09-23

- Fix: AVX enabled hash could segfault on unaligned loads of user input.

## v0.1.1 - 2018-09-20

- Fix: SIMD enabled hash functions would return the improper response when not compiled with either an explicit `target-cpu=native` or if `target-feature=+avx2` was omitted

## v0.1.0 - 2018-09-19

- Initial Release


================================================
FILE: Cargo.toml
================================================
[package]
name = "highway"
version = "1.3.0"
authors = ["Nick Babcock <nbabcock19@hotmail.com>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/nickbabcock/highway-rs"
categories = ["algorithms", "cryptography", "no-std"]
description = "Native Rust port of Google's HighwayHash, which makes use of SIMD instructions for a fast and strong hash function"
keywords = ["HighwayHash", "hasher", "hash", "simd", "avx"]
include = ["src/**/*.rs", "benches"]
edition = "2021"

[features]
default = ["std"]
std = []

[dev-dependencies]
quickcheck = "~1.0"
quickcheck_macros = "~1.1"
no-panic = "0.1"

[target.'cfg(target_family = "wasm")'.dev-dependencies]
criterion = { version = "< 0.4.0", default-features = false }
wasm-bindgen-test = "0.3"
getrandom = { version = "0.2", features = ["js"] }

[target.'cfg(not(target_family = "wasm"))'.dev-dependencies]
criterion = { version = "< 0.4.0" }

[[bench]]
name = "bench_hashes"
harness = false

# Required for the no_panic to work
[profile.release]
lto = "fat"
codegen-units = 1

[[example]]
name = "hwysum"
required-features = ["std"]


================================================
FILE: LICENSE.txt
================================================
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


================================================
FILE: README.md
================================================
![ci](https://github.com/nickbabcock/highway-rs/workflows/ci/badge.svg) [![](https://docs.rs/highway/badge.svg)](https://docs.rs/highway) [![Rust](https://img.shields.io/badge/rust-1.59%2B-blue.svg?maxAge=3600)](https://github.com/nickbabcock/highway-rs) [![Version](https://img.shields.io/crates/v/highway.svg?style=flat-square)](https://crates.io/crates/highway)

# Highway-rs

This crate is a native Rust port of [Google's HighwayHash](https://github.com/google/highwayhash), which is a fast, keyed, and strong hash function, whose output is hardware independent.

## Features

 - ✔ pure / stable rust
 - ✔ zero dependencies
 - ✔ generate consistent 64, 128, and 256bit hashes across all hardware
 - ✔ > 10 GB/s with SIMD (SSE 4.1 AVX 2, NEON) aware instructions on x86 and aarch64 architectures
 - ✔ > 3 GB/s on Wasm with the Wasm SIMD extension
 - ✔ > 1 GB/s hardware agnostic implementation with zero unsafe code
 - ✔ incremental / streaming hashes that can be checkpointed and restored
 - ✔ zero heap allocations
 - ✔ `no_std` compatible
 - ✔ fuzzed against reference implementation to ensure stability and compatibility

## Caution

`HighwayHash` (the algorithm) has not undergone extensive cryptanalysis like SipHash (the default hashing algorithm in Rust), but according to the authors, HighwayHash output bits are uniformly distributed and should withstand differential and rotational attacks. Hence HighwayHash is referred to as a strong hash function, not a cryptographic hash function. I encourage anyone interested to [peruse the paper](https://arxiv.org/abs/1612.06257) to understand the risks.

## Examples

The quickest way to get started:

```rust
use highway::{HighwayHasher, HighwayHash};
let res: u64 = HighwayHasher::default().hash64(&[]);
let res2: [u64; 2] = HighwayHasher::default().hash128(&[]);
let res3: [u64; 4] = HighwayHasher::default().hash256(&[]);
```

A more complete tour of the API follows:

```rust
use highway::{HighwayHasher, HighwayHash, Key};

// HighwayHash requires a key that should be hidden from attackers
// to ensure outputs are unpredictable, so attackers can't mount
// DoS attacks.
let key = Key([1, 2, 3, 4]);

// A HighwayHasher is the recommended approach to hashing,
// as it will select the fastest algorithm available
let mut hasher = HighwayHasher::new(key);

// Append some data
hasher.append(&[255]);

// After all data has been appended, you ask for
// 64, 128, or 256bit output. The hasher is consumed
// after finalization.
let res: u64 = hasher.finalize64();

assert_eq!(0x07858f24d_2d79b2b2, res);
```

Creating a 128bit and 256bit hash is just as simple.

```rust
use highway::{HighwayHasher, HighwayHash, Key};

// Generate 128bit hash
let key = Key([1, 2, 3, 4]);
let mut hasher128 = HighwayHasher::new(key);
hasher128.append(&[255]);
let res128: [u64; 2] = hasher128.finalize128();
assert_eq!([0xbb007d2462e77f3c, 0x224508f916b3991f], res128);

// Generate 256bit hash
let key = Key([1, 2, 3, 4]);
let mut hasher256 = HighwayHasher::new(key);
hasher256.append(&[255]);
let res256: [u64; 4] = hasher256.finalize256();
let expected: [u64; 4] = [
    0x7161cadbf7cd70e1,
    0xaac4905de62b2f5e,
    0x7b02b936933faa7,
    0xc8efcfc45b239f8d,
];
assert_eq!(expected, res256);
```

Use highway hash in standard rust collections

```rust
use std::collections::HashMap;
use highway::{HighwayBuildHasher, Key};
let mut map =
  HashMap::with_hasher(HighwayBuildHasher::new(Key([
    0xcbf29ce484222325,
    0xc3a5c85c97cb3127,
    0xb492b66fbe98f273,
    0x9ae16a3b2f90404f,
  ])));

map.insert(1, 2);
assert_eq!(map.get(&1), Some(&2));
```

Or if utilizing a key is not important, one can use the default

```rust
use std::collections::HashMap;
use std::hash::BuildHasherDefault;
use highway::HighwayHasher;
let mut map =
  HashMap::with_hasher(BuildHasherDefault::<HighwayHasher>::default());

map.insert(1, 2);
assert_eq!(map.get(&1), Some(&2));
```

Hashing a file, or anything implementing `Read`

```rust
use std::hash::Hasher;
use highway::{PortableHash, HighwayHash};

let mut file = &b"hello world"[..];

// We're using the `PortableHash` to show importing a specific hashing
// implementation (all hash outputs are already portable / hardware agnostic).
// The main reason for directly using `PortableHash` would be if avoiding
// `unsafe` code blocks is a top priority.
let mut hasher = PortableHash::default();
std::io::copy(&mut file, &mut hasher)?;
let hash64 = hasher.finish(); // core Hasher API
let hash256 = hasher.finalize256(); // HighwayHash API
```

## Use Cases

`HighwayHash` can be used against untrusted user input where weak hashes can't be used due to exploitation, verified cryptographic hashes are too slow, and a strong hash function meets requirements. Some specific scenarios given by the authors of HighwayHash:

- Use 64bit hashes to for authenticating short lived messages
- Use 256bit hashes for checksums. Think file storage (S3) or any longer lived data where there is a need for strong guarantees against collisions.

`HighwayHash` may not be a good fit if the payloads trend small (< 100 bytes) and speed is up of the utmost importance, as HighwayHash hits its stride at larger payloads.

## Wasm SIMD

When deploying HighwayHash to a Wasm environment, one can opt into using the Wasm SIMD instructions by adding a Rust flag:

```bash
RUSTFLAGS="-C target-feature=+simd128" wasm-pack build
```

Then `HighwayHasher` will automatically defer to the Wasm SIMD implementation via `WasmHash`.

Once opted in, the execution environment must support Wasm SIMD instructions, which Chrome, Firefox, and Node LTS have stabilized since mid-2021. The opt in is required as there is not a way for Wasm to detect SIMD capabilities at runtime. The mere presence of Wasm SIMD instructions will cause incompatible environments to fail to compile, so it is recommended to provide two Wasm payloads to downstream users: one with SIMD enabled and one without.

### `no_std` crates

This crate has a feature, `std`, that is enabled by default. To use this crate
in a `no_std` context, add the following to your `Cargo.toml`:

```toml
[dependencies]
highway = { version = "x", default-features = false }
```

Be aware that the `no_std` version is unable to detect CPU features and so will always default to the portable implementation. If building for a known SSE 4.1 or AVX 2 machine (and the majority of machines in the last decade will support SSE 4.1), then explicitly enable the target feature:

```bash
RUSTFLAGS="-C target-feature=+sse4.1" cargo test
RUSTFLAGS="-C target-feature=+avx2" cargo test
```

## Benchmarks

Benchmarks are ran with the following command:

```bash
(cd compare && cargo clean && RUSTFLAGS="-C target-cpu=native" cargo bench)
find ./compare/target -wholename "*/new/raw.csv" -print0 | xargs -0 xsv cat rows > assets/highway.csv
```

And can be analyzed with the [R script](assets/analysis.R) found in the assets directory

Keep in mind, benchmarks will vary by machine. Newer machines typically handle AVX payloads better than older.

We'll first take a look at the throughput when calculating the 64bit hash of a varying payload with various implementations

![64bit-highwayhash.png](assets/64bit-highwayhash.png)

Takeaways:

- The lower left corner of the graph illustrates HighwayHash's weakness: small payloads, as with a bit of squinting, one can see that HighwayHash ranks amongst the bottom.
- At larger payloads, HighwayHash can be competitive in performance as the CPU has room to stretch its proverbial SIMD legs on the input.
- AHash and t1ha perform fantastically and should be in one's toolkit for in memory data structures.

Now taking a look at calculating a 256bit hash value, we see a similar story.

![256bit-highwayhash.png](assets/256bit-highwayhash.png)

Takeaways:

- HighwayHash is by far the fastest compared to the other functions, but if one needs a cryptographic hash, then BLAKE3 should be chosen

Even with the best eyesight, the differences are indistinguishable at smaller payloads, so let's look at the hash rate: 

![256bit-highwayhash-rate.png](assets/256bit-highwayhash-rate.png)

Takeaways:

- At smaller payloads HighwayHash maintains its performance lead

HighwayHash uses more rounds of permutation when finalizing the 256bit output compared to the 64bit and this is reflected in the following graphic:

![64bit-vs-256bit-highwayhash.png](assets/64bit-vs-256bit-highwayhash.png)

Takeaways:

- At max, the 64bit hash can be computed 33% faster than the 256bit output
- After 64KiB there is no performance difference between 64bit and 256bit outputs 

For those more into numbers and are curious about specifics or want more details about the hash functions at small payloads size, here is a table that breaks down throughput (in GB/s) at all payload sizes

![highwayhash-table.png](assets/highwayhash-table.png)

### Builder Benchmarks

Have fun running the builder benchmarks to see how performance differs with flags:

*Default compilation*

```bash
cargo bench -- highway-builder
```

*Explicitly disable avx2*

```bash
RUSTFLAGS="-C target-feature=-avx2" cargo bench -- highway-builder
```

*Explicitly disable avx2 when targeting native cpu*

```bash
RUSTFLAGS="-C target-cpu=native -C target-feature=+sse4.1,-avx2" \
  cargo bench -- highway-builder
```


================================================
FILE: assets/analysis.R
================================================
library(scales)
library(tidyverse)
library(readr)
library(ggnewscale)

is_highwayhash <- Vectorize(function(fn) {
  switch(fn,
         "avx" = TRUE,
         "sse" = TRUE,
         "portable" = TRUE,
         FALSE)
})

get_line_type <- Vectorize(function(fn) {
  switch(fn,
         "avx" = "highwayhash",
         "sse" = "highwayhash",
         "portable" = "highwayhash",
         "other")
})

df <- read_csv("./highway.csv")
df <- mutate(
  df,
  fn = `function`,
  highwayhash = is_highwayhash(fn),
  line = get_line_type(fn),
  throughput = value * iteration_count * 10 ^ 9 / sample_measured_value,
  hashes_per_ms = iteration_count * 10 ^ 6 / sample_measured_value,
)

df64 <- df %>% filter(group == '64bit')
df64highway <- df64 %>% filter(highwayhash == TRUE)
df64other <- df64 %>% filter(highwayhash == FALSE)

df256 <- df %>% filter(group == '256bit')
df256highway <- df256 %>% filter(highwayhash == TRUE)
df256other <- df256 %>% filter(highwayhash == FALSE)

# We create a custom palette as we want hashes that produce both 64bit and
# 256bit results to have consistent colors between multiple graphs. Hashes
# that don't produce both are fine to have inconsistent colors so that we can
# use a smaller color palette (and a smaller color palette makes it easier to
# read the graph)
df64UniqueNames <- df64 %>% select(fn) %>% distinct() %>% pull() %>% sort()
df256UniqueNames <- df256 %>% select(fn) %>% distinct() %>% pull() %>% sort()
namesInBoth <- intersect(df64UniqueNames, df256UniqueNames)
neededColors <- max(length(df64UniqueNames), length(df256UniqueNames))
pal64 <- brewer.pal(neededColors, "Set1")[1:length(df64UniqueNames)]
pal256 <- brewer.pal(neededColors, "Set1")[1:length(df256UniqueNames)]
names(pal64) <- c(namesInBoth, setdiff(df64UniqueNames, namesInBoth))
names(pal256) <- c(namesInBoth, setdiff(df256UniqueNames, namesInBoth))

byte_rate <- function(l) {
  paste(scales::number_bytes(l, symbol = "GB", units = "si"), "/s")
}

ggplot(mapping=aes(value, throughput)) +
  stat_summary(data=df64, mapping=aes(value, throughput, color = fn), fun = mean, geom="point", size = 1.5) +
  scale_color_manual("Points", values=pal64, guide=FALSE) +
  ggnewscale::new_scale_color() +
  stat_summary(data=df64highway, mapping=aes(linetype = line, color = fn), fun = mean, geom="line", size = 1.2) +
  scale_color_manual("HighwayHash", values=pal64, guide=guide_legend(order = 1)) +
  scale_linetype(guide = FALSE) +
  ggnewscale::new_scale_color() +
  stat_summary(data=df64other, mapping=aes(linetype = line, color = fn), fun = mean, geom="line", size = 1.2) +
  scale_color_manual("Other Hashes", values=pal64, guide=guide_legend(order = 2)) +
  scale_y_continuous(labels = byte_rate, limits = c(0, NA), breaks = pretty_breaks(10)) +
  scale_x_continuous(trans='log2', limit = c(1, NA), breaks = c(1, 4, 16, 64, 256, 1024, 4096, 16384, 65536)) +
  labs(title = "Comparison of throughput for 64bit hash functions at varying payload lengths",
       caption = "solid lines are HighwayHash functions",
       col = "Hash function",
       y = "Throughput", 
       x = "Payload length in bytes")
ggsave('64bit-highwayhash.png', width = 8, height = 5, dpi = 100)

ggplot(mapping=aes(value, throughput)) +
  stat_summary(data=df256, mapping=aes(value, throughput, color = fn), fun = mean, geom="point", size = 1.5) +
  scale_color_manual("Points", values=pal256, guide=FALSE) +
  ggnewscale::new_scale_color() +
  stat_summary(data=df256highway, mapping=aes(linetype = line, color = fn), fun = mean, geom="line", size = 1.2) +
  scale_color_manual("HighwayHash", values=pal256, guide=guide_legend(order = 1)) +
  scale_linetype(guide = FALSE) +
  ggnewscale::new_scale_color() +
  stat_summary(data=df256other, mapping=aes(linetype = line, color = fn), fun = mean, geom="line", size = 1.2) +
  scale_color_manual("Other Hashes", values=pal256, guide=guide_legend(order = 2)) +
  scale_y_continuous(labels = byte_rate, limits = c(0, NA), breaks = pretty_breaks(10)) +
  scale_x_continuous(trans='log2', limit = c(1, NA), breaks = c(1, 4, 16, 64, 256, 1024, 4096, 16384, 65536)) +
  labs(title = "Comparison of throughput for 256bit hash functions at varying payload lengths",
       caption = "solid lines are HighwayHash functions",
       col = "Hash function",
       y = "Throughput",
       x = "Payload length in bytes")

ggsave('256bit-highwayhash.png', width = 8, height = 5, dpi = 100)

ggplot(mapping=aes(value, hashes_per_ms)) +
  stat_summary(data=df256, mapping=aes(value, hashes_per_ms, color = fn), fun = mean, geom="point", size = 1.5) +
  scale_color_manual("Points", values=pal256, guide=FALSE) +
  ggnewscale::new_scale_color() +
  stat_summary(data=df256highway, mapping=aes(linetype = line, color = fn), fun = mean, geom="line", size = 1.2) +
  scale_color_manual("HighwayHash", values=pal256, guide=guide_legend(order = 1)) +
  scale_linetype(guide = FALSE) +
  ggnewscale::new_scale_color() +
  stat_summary(data=df256other, mapping=aes(linetype = line, color = fn), fun = mean, geom="line", size = 1.2) +
  scale_color_manual("Other Hashes", values=pal256, guide=guide_legend(order = 2)) +
  scale_y_continuous(limits = c(0, NA), breaks = pretty_breaks(10)) +
  scale_x_continuous(trans='log2', limit = c(1, NA), breaks = c(1, 4, 16, 64, 256, 1024, 4096, 16384, 65536)) +
  labs(title = "Comparison of hash rate for 256bit hash functions at varying payload lengths",
       caption = "solid lines are HighwayHash functions",
       col = "Hash function",
       y = "Hashes per ms",
       x = "Payload length in bytes")
ggsave('256bit-highwayhash-rate.png', width = 8, height = 5, dpi = 100)

ggplot(df %>% filter(highwayhash == TRUE), aes(value, throughput, color = fn, line_type = group)) + 
  stat_summary(fun = mean, geom="point", size = 1.5) +
  stat_summary(aes(linetype = as.factor(group)), fun = mean, geom="line", size = 1.2) +
  scale_y_continuous(labels = byte_rate, limits = c(0, NA), breaks = pretty_breaks(10)) +
  scale_x_continuous(trans='log2', limit = c(1, NA), breaks = c(1, 4, 16, 64, 256, 1024, 4096, 16384, 65536)) +
  labs(title = "Comparison of throughput for 64bit vs 256bit HighwayHash",
       col = "HighwayHash",
       linetype = "Output",
       y = "Throughput",
       x = "Payload length in bytes") +
  scale_colour_manual(values = pal256)
ggsave('64bit-vs-256bit-highwayhash.png', width = 8, height = 5, dpi = 100)

reldf <- df %>%
  mutate(throughput = throughput / 10^9) %>%
  group_by(group, fn, highwayhash, value) %>%
  summarize(throughput = mean(throughput)) %>%
  ungroup() %>%
  group_by(value, group) %>%
  mutate(relative = throughput / max(throughput)) %>%
  ungroup() %>%
  complete(group, fn, value, fill = list(highwayhash = FALSE))

ordered <- reldf %>% distinct(fn, highwayhash) %>% arrange(!highwayhash, fn) %>% pull(fn)

# Group all highway hash functions next to each other in the graph
reldf$fn <- factor(reldf$fn, levels = ordered)

ggplot(reldf, aes(fn, as.factor(value))) +
  geom_tile(aes(fill = relative), color = "white") +
  facet_grid(group ~ .) +
  scale_x_discrete(position = "top") +
  scale_fill_gradient(name = "", low = "white", high = "steelblue", na.value = "#D8D8D8", labels = c("lowest", "highest (GB/s)"), breaks = c(0,1)) +
  xlab("Hash Library") +
  ylab("Payload Size (bytes)") +
  geom_text(size = 3.25, aes(label = ifelse(is.na(relative), "NA", format(round(throughput, 2), digits = 3)))) +
  theme(axis.text.x.top=element_text(angle=45, hjust=0, vjust=0)) +
  theme(legend.position="bottom") +
  theme(plot.caption = element_text(hjust=0)) +
  ggtitle("Comparison of Mean Throughput (GB/s) across Hash Functions") +
  labs(caption = "Shaded relative by payload and return size\n(eg: fnv has the highest throughput for a 64bit value with a 1 byte payload, so it is a deep blue)")
ggsave('highwayhash-table.png', width = 8, height = 6, dpi = 100)


================================================
FILE: assets/highway.csv
================================================
group,function,value,throughput_num,throughput_type,sample_measured_value,unit,iteration_count
256bit,sse,4,4,bytes,985320.0,ns,23455
256bit,sse,4,4,bytes,1974919.0,ns,46910
256bit,sse,4,4,bytes,2979606.0,ns,70365
256bit,sse,4,4,bytes,3958816.0,ns,93820
256bit,sse,4,4,bytes,5032856.0,ns,117275
256bit,sse,4,4,bytes,6090283.0,ns,140730
256bit,sse,4,4,bytes,7026421.0,ns,164185
256bit,sse,4,4,bytes,7992793.0,ns,187640
256bit,sse,4,4,bytes,8968106.0,ns,211095
256bit,sse,4,4,bytes,9993142.0,ns,234550
256bit,sse,4,4,bytes,10911644.0,ns,258005
256bit,sse,4,4,bytes,12032504.0,ns,281460
256bit,sse,4,4,bytes,13017735.0,ns,304915
256bit,sse,4,4,bytes,13986052.0,ns,328370
256bit,sse,4,4,bytes,14821355.0,ns,351825
256bit,sse,4,4,bytes,15730790.0,ns,375280
256bit,sse,4,4,bytes,16857252.0,ns,398735
256bit,sse,4,4,bytes,17827622.0,ns,422190
256bit,sse,4,4,bytes,18846246.0,ns,445645
256bit,sse,4,4,bytes,19811588.0,ns,469100
256bit,sse,4,4,bytes,20791588.0,ns,492555
256bit,sse,4,4,bytes,21792520.0,ns,516010
256bit,sse,4,4,bytes,22787067.0,ns,539465
256bit,sse,4,4,bytes,23655663.0,ns,562920
256bit,sse,4,4,bytes,24698845.0,ns,586375
256bit,sse,4,4,bytes,25617487.0,ns,609830
256bit,sse,4,4,bytes,26856263.0,ns,633285
256bit,sse,4,4,bytes,27815273.0,ns,656740
256bit,sse,4,4,bytes,28604307.0,ns,680195
256bit,sse,4,4,bytes,29613974.0,ns,703650
256bit,sse,4,4,bytes,30700759.0,ns,727105
256bit,sse,4,4,bytes,31719804.0,ns,750560
256bit,sse,4,4,bytes,32554767.0,ns,774015
256bit,sse,4,4,bytes,33772511.0,ns,797470
256bit,sse,4,4,bytes,33893975.0,ns,820925
256bit,sse,4,4,bytes,35293060.0,ns,844380
256bit,sse,4,4,bytes,36261077.0,ns,867835
256bit,sse,4,4,bytes,37313825.0,ns,891290
256bit,sse,4,4,bytes,38457300.0,ns,914745
256bit,sse,4,4,bytes,39308933.0,ns,938200
256bit,sse,4,4,bytes,40329482.0,ns,961655
256bit,sse,4,4,bytes,41495838.0,ns,985110
256bit,sse,4,4,bytes,42270776.0,ns,1008565
256bit,sse,4,4,bytes,43460029.0,ns,1032020
256bit,sse,4,4,bytes,44359463.0,ns,1055475
256bit,sse,4,4,bytes,45420037.0,ns,1078930
256bit,sse,4,4,bytes,46105643.0,ns,1102385
256bit,sse,4,4,bytes,47245530.0,ns,1125840
256bit,sse,4,4,bytes,48198178.0,ns,1149295
256bit,sse,4,4,bytes,49046655.0,ns,1172750
256bit,sse,4,4,bytes,50013100.0,ns,1196205
256bit,sse,4,4,bytes,51005572.0,ns,1219660
256bit,sse,4,4,bytes,52161722.0,ns,1243115
256bit,sse,4,4,bytes,53106605.0,ns,1266570
256bit,sse,4,4,bytes,53949692.0,ns,1290025
256bit,sse,4,4,bytes,54955260.0,ns,1313480
256bit,sse,4,4,bytes,56379302.0,ns,1336935
256bit,sse,4,4,bytes,56497790.0,ns,1360390
256bit,sse,4,4,bytes,59304364.0,ns,1383845
256bit,sse,4,4,bytes,59788213.0,ns,1407300
256bit,sse,4,4,bytes,61220912.0,ns,1430755
256bit,sse,4,4,bytes,61460230.0,ns,1454210
256bit,sse,4,4,bytes,62251859.0,ns,1477665
256bit,sse,4,4,bytes,63911384.0,ns,1501120
256bit,sse,4,4,bytes,64578994.0,ns,1524575
256bit,sse,4,4,bytes,65325205.0,ns,1548030
256bit,sse,4,4,bytes,66347467.0,ns,1571485
256bit,sse,4,4,bytes,67348186.0,ns,1594940
256bit,sse,4,4,bytes,68360879.0,ns,1618395
256bit,sse,4,4,bytes,69421995.0,ns,1641850
256bit,sse,4,4,bytes,70726368.0,ns,1665305
256bit,sse,4,4,bytes,71117779.0,ns,1688760
256bit,sse,4,4,bytes,72567168.0,ns,1712215
256bit,sse,4,4,bytes,73197348.0,ns,1735670
256bit,sse,4,4,bytes,74599326.0,ns,1759125
256bit,sse,4,4,bytes,76578044.0,ns,1782580
256bit,sse,4,4,bytes,76719404.0,ns,1806035
256bit,sse,4,4,bytes,77073955.0,ns,1829490
256bit,sse,4,4,bytes,78201678.0,ns,1852945
256bit,sse,4,4,bytes,79017995.0,ns,1876400
256bit,sse,4,4,bytes,79909414.0,ns,1899855
256bit,sse,4,4,bytes,80991621.0,ns,1923310
256bit,sse,4,4,bytes,82202132.0,ns,1946765
256bit,sse,4,4,bytes,83181192.0,ns,1970220
256bit,sse,4,4,bytes,84391272.0,ns,1993675
256bit,sse,4,4,bytes,85710624.0,ns,2017130
256bit,sse,4,4,bytes,86493316.0,ns,2040585
256bit,sse,4,4,bytes,87362612.0,ns,2064040
256bit,sse,4,4,bytes,88895144.0,ns,2087495
256bit,sse,4,4,bytes,88862080.0,ns,2110950
256bit,sse,4,4,bytes,89806642.0,ns,2134405
256bit,sse,4,4,bytes,90769299.0,ns,2157860
256bit,sse,4,4,bytes,91844771.0,ns,2181315
256bit,sse,4,4,bytes,93057178.0,ns,2204770
256bit,sse,4,4,bytes,94557716.0,ns,2228225
256bit,sse,4,4,bytes,95198977.0,ns,2251680
256bit,sse,4,4,bytes,96515063.0,ns,2275135
256bit,sse,4,4,bytes,96848561.0,ns,2298590
256bit,sse,4,4,bytes,98384999.0,ns,2322045
256bit,sse,4,4,bytes,101109637.0,ns,2345500
256bit,sse,16384,16384,bytes,972816.0,ns,869
256bit,sse,16384,16384,bytes,1939830.0,ns,1738
256bit,sse,16384,16384,bytes,2948525.0,ns,2607
256bit,sse,16384,16384,bytes,3929136.0,ns,3476
256bit,sse,16384,16384,bytes,5076166.0,ns,4345
256bit,sse,16384,16384,bytes,6008272.0,ns,5214
256bit,sse,16384,16384,bytes,6933407.0,ns,6083
256bit,sse,16384,16384,bytes,7880973.0,ns,6952
256bit,sse,16384,16384,bytes,8960315.0,ns,7821
256bit,sse,16384,16384,bytes,10033161.0,ns,8690
256bit,sse,16384,16384,bytes,10924190.0,ns,9559
256bit,sse,16384,16384,bytes,11760724.0,ns,10428
256bit,sse,16384,16384,bytes,12683295.0,ns,11297
256bit,sse,16384,16384,bytes,13679153.0,ns,12166
256bit,sse,16384,16384,bytes,14650678.0,ns,13035
256bit,sse,16384,16384,bytes,15633501.0,ns,13904
256bit,sse,16384,16384,bytes,16644000.0,ns,14773
256bit,sse,16384,16384,bytes,17593922.0,ns,15642
256bit,sse,16384,16384,bytes,18527733.0,ns,16511
256bit,sse,16384,16384,bytes,19535735.0,ns,17380
256bit,sse,16384,16384,bytes,20474036.0,ns,18249
256bit,sse,16384,16384,bytes,21519650.0,ns,19118
256bit,sse,16384,16384,bytes,22464333.0,ns,19987
256bit,sse,16384,16384,bytes,23447116.0,ns,20856
256bit,sse,16384,16384,bytes,24370949.0,ns,21725
256bit,sse,16384,16384,bytes,25394963.0,ns,22594
256bit,sse,16384,16384,bytes,26342269.0,ns,23463
256bit,sse,16384,16384,bytes,27373887.0,ns,24332
256bit,sse,16384,16384,bytes,28328568.0,ns,25201
256bit,sse,16384,16384,bytes,29315191.0,ns,26070
256bit,sse,16384,16384,bytes,30255744.0,ns,26939
256bit,sse,16384,16384,bytes,31228058.0,ns,27808
256bit,sse,16384,16384,bytes,32228588.0,ns,28677
256bit,sse,16384,16384,bytes,33178481.0,ns,29546
256bit,sse,16384,16384,bytes,34140213.0,ns,30415
256bit,sse,16384,16384,bytes,35203194.0,ns,31284
256bit,sse,16384,16384,bytes,36111293.0,ns,32153
256bit,sse,16384,16384,bytes,37144476.0,ns,33022
256bit,sse,16384,16384,bytes,38057235.0,ns,33891
256bit,sse,16384,16384,bytes,39072643.0,ns,34760
256bit,sse,16384,16384,bytes,40196595.0,ns,35629
256bit,sse,16384,16384,bytes,41123275.0,ns,36498
256bit,sse,16384,16384,bytes,41988085.0,ns,37367
256bit,sse,16384,16384,bytes,43003801.0,ns,38236
256bit,sse,16384,16384,bytes,43941171.0,ns,39105
256bit,sse,16384,16384,bytes,45022163.0,ns,39974
256bit,sse,16384,16384,bytes,45889457.0,ns,40843
256bit,sse,16384,16384,bytes,46876570.0,ns,41712
256bit,sse,16384,16384,bytes,47855186.0,ns,42581
256bit,sse,16384,16384,bytes,48827582.0,ns,43450
256bit,sse,16384,16384,bytes,49827047.0,ns,44319
256bit,sse,16384,16384,bytes,50752644.0,ns,45188
256bit,sse,16384,16384,bytes,51760736.0,ns,46057
256bit,sse,16384,16384,bytes,52737680.0,ns,46926
256bit,sse,16384,16384,bytes,53780700.0,ns,47795
256bit,sse,16384,16384,bytes,54646961.0,ns,48664
256bit,sse,16384,16384,bytes,55671456.0,ns,49533
256bit,sse,16384,16384,bytes,56665412.0,ns,50402
256bit,sse,16384,16384,bytes,57623179.0,ns,51271
256bit,sse,16384,16384,bytes,58621154.0,ns,52140
256bit,sse,16384,16384,bytes,59571406.0,ns,53009
256bit,sse,16384,16384,bytes,60563319.0,ns,53878
256bit,sse,16384,16384,bytes,61810279.0,ns,54747
256bit,sse,16384,16384,bytes,62766464.0,ns,55616
256bit,sse,16384,16384,bytes,64055711.0,ns,56485
256bit,sse,16384,16384,bytes,64316837.0,ns,57354
256bit,sse,16384,16384,bytes,66002460.0,ns,58223
256bit,sse,16384,16384,bytes,67091577.0,ns,59092
256bit,sse,16384,16384,bytes,68077007.0,ns,59961
256bit,sse,16384,16384,bytes,69061626.0,ns,60830
256bit,sse,16384,16384,bytes,69989175.0,ns,61699
256bit,sse,16384,16384,bytes,70990816.0,ns,62568
256bit,sse,16384,16384,bytes,72017495.0,ns,63437
256bit,sse,16384,16384,bytes,72005331.0,ns,64306
256bit,sse,16384,16384,bytes,73279215.0,ns,65175
256bit,sse,16384,16384,bytes,74170604.0,ns,66044
256bit,sse,16384,16384,bytes,75384271.0,ns,66913
256bit,sse,16384,16384,bytes,76441459.0,ns,67782
256bit,sse,16384,16384,bytes,77216675.0,ns,68651
256bit,sse,16384,16384,bytes,79037767.0,ns,69520
256bit,sse,16384,16384,bytes,79147309.0,ns,70389
256bit,sse,16384,16384,bytes,80255433.0,ns,71258
256bit,sse,16384,16384,bytes,81143206.0,ns,72127
256bit,sse,16384,16384,bytes,82217316.0,ns,72996
256bit,sse,16384,16384,bytes,83647469.0,ns,73865
256bit,sse,16384,16384,bytes,84799883.0,ns,74734
256bit,sse,16384,16384,bytes,85922341.0,ns,75603
256bit,sse,16384,16384,bytes,87314210.0,ns,76472
256bit,sse,16384,16384,bytes,88242035.0,ns,77341
256bit,sse,16384,16384,bytes,87154383.0,ns,78210
256bit,sse,16384,16384,bytes,88818426.0,ns,79079
256bit,sse,16384,16384,bytes,89912101.0,ns,79948
256bit,sse,16384,16384,bytes,90748236.0,ns,80817
256bit,sse,16384,16384,bytes,91844670.0,ns,81686
256bit,sse,16384,16384,bytes,92700765.0,ns,82555
256bit,sse,16384,16384,bytes,93681481.0,ns,83424
256bit,sse,16384,16384,bytes,94694354.0,ns,84293
256bit,sse,16384,16384,bytes,95727220.0,ns,85162
256bit,sse,16384,16384,bytes,96782168.0,ns,86031
256bit,sse,16384,16384,bytes,97952713.0,ns,86900
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256bit,sse,1,1,bytes,1965622.0,ns,46930
256bit,sse,1,1,bytes,2942354.0,ns,70395
256bit,sse,1,1,bytes,3969917.0,ns,93860
256bit,sse,1,1,bytes,5014782.0,ns,117325
256bit,sse,1,1,bytes,6067681.0,ns,140790
256bit,sse,1,1,bytes,6980573.0,ns,164255
256bit,sse,1,1,bytes,7950143.0,ns,187720
256bit,sse,1,1,bytes,8896789.0,ns,211185
256bit,sse,1,1,bytes,9898613.0,ns,234650
256bit,sse,1,1,bytes,10869685.0,ns,258115
256bit,sse,1,1,bytes,11898339.0,ns,281580
256bit,sse,1,1,bytes,12941190.0,ns,305045
256bit,sse,1,1,bytes,13938733.0,ns,328510
256bit,sse,1,1,bytes,14983734.0,ns,351975
256bit,sse,1,1,bytes,15390359.0,ns,375440
256bit,sse,1,1,bytes,16235611.0,ns,398905
256bit,sse,1,1,bytes,17725358.0,ns,422370
256bit,sse,1,1,bytes,18605689.0,ns,445835
256bit,sse,1,1,bytes,19581690.0,ns,469300
256bit,sse,1,1,bytes,20627598.0,ns,492765
256bit,sse,1,1,bytes,21472438.0,ns,516230
256bit,sse,1,1,bytes,22408705.0,ns,539695
256bit,sse,1,1,bytes,23553431.0,ns,563160
256bit,sse,1,1,bytes,24416176.0,ns,586625
256bit,sse,1,1,bytes,25448427.0,ns,610090
256bit,sse,1,1,bytes,26502830.0,ns,633555
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256bit,sse,256,256,bytes,60334846.0,ns,1149914
256bit,sse,256,256,bytes,61266413.0,ns,1168461
256bit,sse,256,256,bytes,62437310.0,ns,1187008
256bit,sse,256,256,bytes,63436585.0,ns,1205555
256bit,sse,256,256,bytes,64497191.0,ns,1224102
256bit,sse,256,256,bytes,65365385.0,ns,1242649
256bit,sse,256,256,bytes,66349643.0,ns,1261196
256bit,sse,256,256,bytes,67742385.0,ns,1279743
256bit,sse,256,256,bytes,68297249.0,ns,1298290
256bit,sse,256,256,bytes,69484035.0,ns,1316837
256bit,sse,256,256,bytes,70145424.0,ns,1335384
256bit,sse,256,256,bytes,71131314.0,ns,1353931
256bit,sse,256,256,bytes,72079413.0,ns,1372478
256bit,sse,256,256,bytes,73276531.0,ns,1391025
256bit,sse,256,256,bytes,74055964.0,ns,1409572
256bit,sse,256,256,bytes,74410554.0,ns,1428119
256bit,sse,256,256,bytes,75199639.0,ns,1446666
256bit,sse,256,256,bytes,76434596.0,ns,1465213
256bit,sse,256,256,bytes,77321228.0,ns,1483760
256bit,sse,256,256,bytes,78418352.0,ns,1502307
256bit,sse,256,256,bytes,79646747.0,ns,1520854
256bit,sse,256,256,bytes,80608603.0,ns,1539401
256bit,sse,256,256,bytes,81333323.0,ns,1557948
256bit,sse,256,256,bytes,82388708.0,ns,1576495
256bit,sse,256,256,bytes,83222987.0,ns,1595042
256bit,sse,256,256,bytes,84360551.0,ns,1613589
256bit,sse,256,256,bytes,85428418.0,ns,1632136
256bit,sse,256,256,bytes,86160882.0,ns,1650683
256bit,sse,256,256,bytes,87488229.0,ns,1669230
256bit,sse,256,256,bytes,88257023.0,ns,1687777
256bit,sse,256,256,bytes,89292198.0,ns,1706324
256bit,sse,256,256,bytes,90507690.0,ns,1724871
256bit,sse,256,256,bytes,90964146.0,ns,1743418
256bit,sse,256,256,bytes,92057022.0,ns,1761965
256bit,sse,256,256,bytes,93526740.0,ns,1780512
256bit,sse,256,256,bytes,94803399.0,ns,1799059
256bit,sse,256,256,bytes,94993856.0,ns,1817606
256bit,sse,256,256,bytes,96371321.0,ns,1836153
256bit,sse,256,256,bytes,97757306.0,ns,1854700
256bit,blake2b_simd,4,4,bytes,987836.0,ns,4668
256bit,blake2b_simd,4,4,bytes,1963357.0,ns,9336
256bit,blake2b_simd,4,4,bytes,2948757.0,ns,14004
256bit,blake2b_simd,4,4,bytes,3960197.0,ns,18672
256bit,blake2b_simd,4,4,bytes,5010453.0,ns,23340
256bit,blake2b_simd,4,4,bytes,6015972.0,ns,28008
256bit,blake2b_simd,4,4,bytes,6997656.0,ns,32676
256bit,blake2b_simd,4,4,bytes,7972775.0,ns,37344
256bit,blake2b_simd,4,4,bytes,8929301.0,ns,42012
256bit,blake2b_simd,4,4,bytes,9942665.0,ns,46680
256bit,blake2b_simd,4,4,bytes,10935079.0,ns,51348
256bit,blake2b_simd,4,4,bytes,11962652.0,ns,56016
256bit,blake2b_simd,4,4,bytes,12979802.0,ns,60684
256bit,blake2b_simd,4,4,bytes,13932620.0,ns,65352
256bit,blake2b_simd,4,4,bytes,14984067.0,ns,70020
256bit,blake2b_simd,4,4,bytes,16006129.0,ns,74688
256bit,blake2b_simd,4,4,bytes,16985387.0,ns,79356
256bit,blake2b_simd,4,4,bytes,17974075.0,ns,84024
256bit,blake2b_simd,4,4,bytes,18984712.0,ns,88692
256bit,blake2b_simd,4,4,bytes,19860393.0,ns,93360
256bit,blake2b_simd,4,4,bytes,20890249.0,ns,98028
256bit,blake2b_simd,4,4,bytes,21901560.0,ns,102696
256bit,blake2b_simd,4,4,bytes,22789042.0,ns,107364
256bit,blake2b_simd,4,4,bytes,23719827.0,ns,112032
256bit,blake2b_simd,4,4,bytes,24654351.0,ns,116700
256bit,blake2b_simd,4,4,bytes,25706469.0,ns,121368
256bit,blake2b_simd,4,4,bytes,26687962.0,ns,126036
256bit,blake2b_simd,4,4,bytes,27581005.0,ns,130704
256bit,blake2b_simd,4,4,bytes,28551808.0,ns,135372
256bit,blake2b_simd,4,4,bytes,29758393.0,ns,140040
256bit,blake2b_simd,4,4,bytes,30960349.0,ns,144708
256bit,blake2b_simd,4,4,bytes,31839436.0,ns,149376
256bit,blake2b_simd,4,4,bytes,32795379.0,ns,154044
256bit,blake2b_simd,4,4,bytes,33550768.0,ns,158712
256bit,blake2b_simd,4,4,bytes,34515861.0,ns,163380
256bit,blake2b_simd,4,4,bytes,35726373.0,ns,168048
256bit,blake2b_simd,4,4,bytes,36580742.0,ns,172716
256bit,blake2b_simd,4,4,bytes,37609406.0,ns,177384
256bit,blake2b_simd,4,4,bytes,38534951.0,ns,182052
256bit,blake2b_simd,4,4,bytes,39520491.0,ns,186720
256bit,blake2b_simd,4,4,bytes,40684717.0,ns,191388
256bit,blake2b_simd,4,4,bytes,41601173.0,ns,196056
256bit,blake2b_simd,4,4,bytes,42353547.0,ns,200724
256bit,blake2b_simd,4,4,bytes,43384125.0,ns,205392
256bit,blake2b_simd,4,4,bytes,44256328.0,ns,210060
256bit,blake2b_simd,4,4,bytes,45339450.0,ns,214728
256bit,blake2b_simd,4,4,bytes,46361236.0,ns,219396
256bit,blake2b_simd,4,4,bytes,47481035.0,ns,224064
256bit,blake2b_simd,4,4,bytes,48565425.0,ns,228732
256bit,blake2b_simd,4,4,bytes,49398644.0,ns,233400
256bit,blake2b_simd,4,4,bytes,50161276.0,ns,238068
256bit,blake2b_simd,4,4,bytes,51496850.0,ns,242736
256bit,blake2b_simd,4,4,bytes,52200038.0,ns,247404
256bit,blake2b_simd,4,4,bytes,53264420.0,ns,252072
256bit,blake2b_simd,4,4,bytes,54141983.0,ns,256740
256bit,blake2b_simd,4,4,bytes,55211546.0,ns,261408
256bit,blake2b_simd,4,4,bytes,56186286.0,ns,266076
256bit,blake2b_simd,4,4,bytes,57272480.0,ns,270744
256bit,blake2b_simd,4,4,bytes,58377499.0,ns,275412
256bit,blake2b_simd,4,4,bytes,59163608.0,ns,280080
256bit,blake2b_simd,4,4,bytes,60798486.0,ns,284748
256bit,blake2b_simd,4,4,bytes,61303312.0,ns,289416
256bit,blake2b_simd,4,4,bytes,62111252.0,ns,294084
256bit,blake2b_simd,4,4,bytes,63290466.0,ns,298752
256bit,blake2b_simd,4,4,bytes,64156317.0,ns,303420
256bit,blake2b_simd,4,4,bytes,65246888.0,ns,308088
256bit,blake2b_simd,4,4,bytes,66404740.0,ns,312756
256bit,blake2b_simd,4,4,bytes,67746404.0,ns,317424
256bit,blake2b_simd,4,4,bytes,67965857.0,ns,322092
256bit,blake2b_simd,4,4,bytes,69162993.0,ns,326760
256bit,blake2b_simd,4,4,bytes,70111778.0,ns,331428
256bit,blake2b_simd,4,4,bytes,70968537.0,ns,336096
256bit,blake2b_simd,4,4,bytes,72084417.0,ns,340764
256bit,blake2b_simd,4,4,bytes,73130834.0,ns,345432
256bit,blake2b_simd,4,4,bytes,73915090.0,ns,350100
256bit,blake2b_simd,4,4,bytes,75828520.0,ns,354768
256bit,blake2b_simd,4,4,bytes,76518914.0,ns,359436
256bit,blake2b_simd,4,4,bytes,77064812.0,ns,364104
256bit,blake2b_simd,4,4,bytes,78537657.0,ns,368772
256bit,blake2b_simd,4,4,bytes,78212073.0,ns,373440
256bit,blake2b_simd,4,4,bytes,79565900.0,ns,378108
256bit,blake2b_simd,4,4,bytes,80334265.0,ns,382776
256bit,blake2b_simd,4,4,bytes,81395190.0,ns,387444
256bit,blake2b_simd,4,4,bytes,82429374.0,ns,392112
256bit,blake2b_simd,4,4,bytes,83185629.0,ns,396780
256bit,blake2b_simd,4,4,bytes,84560342.0,ns,401448
256bit,blake2b_simd,4,4,bytes,86002809.0,ns,406116
256bit,blake2b_simd,4,4,bytes,86978832.0,ns,410784
256bit,blake2b_simd,4,4,bytes,88418514.0,ns,415452
256bit,blake2b_simd,4,4,bytes,89070405.0,ns,420120
256bit,blake2b_simd,4,4,bytes,90378766.0,ns,424788
256bit,blake2b_simd,4,4,bytes,89754147.0,ns,429456
256bit,blake2b_simd,4,4,bytes,90964659.0,ns,434124
256bit,blake2b_simd,4,4,bytes,91538731.0,ns,438792
256bit,blake2b_simd,4,4,bytes,93818043.0,ns,443460
256bit,blake2b_simd,4,4,bytes,94977467.0,ns,448128
256bit,blake2b_simd,4,4,bytes,96044375.0,ns,452796
256bit,blake2b_simd,4,4,bytes,96828119.0,ns,457464
256bit,blake2b_simd,4,4,bytes,97795183.0,ns,462132
256bit,blake2b_simd,4,4,bytes,98853744.0,ns,466800
256bit,blake2b_simd,16384,16384,bytes,990800.0,ns,84
256bit,blake2b_simd,16384,16384,bytes,2000917.0,ns,168
256bit,blake2b_simd,16384,16384,bytes,2976006.0,ns,252
256bit,blake2b_simd,16384,16384,bytes,3989030.0,ns,336
256bit,blake2b_simd,16384,16384,bytes,5063301.0,ns,420
256bit,blake2b_simd,16384,16384,bytes,6024232.0,ns,504
256bit,blake2b_simd,16384,16384,bytes,6981109.0,ns,588
256bit,blake2b_simd,16384,16384,bytes,7967601.0,ns,672
256bit,blake2b_simd,16384,16384,bytes,8983448.0,ns,756
256bit,blake2b_simd,16384,16384,bytes,10426828.0,ns,840
256bit,blake2b_simd,16384,16384,bytes,10920222.0,ns,924
256bit,blake2b_simd,16384,16384,bytes,11703826.0,ns,1008
256bit,blake2b_simd,16384,16384,bytes,12890954.0,ns,1092
256bit,blake2b_simd,16384,16384,bytes,13982014.0,ns,1176
256bit,blake2b_simd,16384,16384,bytes,15034023.0,ns,1260
256bit,blake2b_simd,16384,16384,bytes,15984575.0,ns,1344
256bit,blake2b_simd,16384,16384,bytes,16957301.0,ns,1428
256bit,blake2b_simd,16384,16384,bytes,17825767.0,ns,1512
256bit,blake2b_simd,16384,16384,bytes,18727075.0,ns,1596
256bit,blake2b_simd,16384,16384,bytes,19755738.0,ns,1680
256bit,blake2b_simd,16384,16384,bytes,20771617.0,ns,1764
256bit,blake2b_simd,16384,16384,bytes,21708774.0,ns,1848
256bit,blake2b_simd,16384,16384,bytes,22667483.0,ns,1932
256bit,blake2b_simd,16384,16384,bytes,23828748.0,ns,2016
256bit,blake2b_simd,16384,16384,bytes,24780956.0,ns,2100
256bit,blake2b_simd,16384,16384,bytes,25895473.0,ns,2184
256bit,blake2b_simd,16384,16384,bytes,26679997.0,ns,2268
256bit,blake2b_simd,16384,16384,bytes,27546430.0,ns,2352
256bit,blake2b_simd,16384,16384,bytes,28546066.0,ns,2436
256bit,blake2b_simd,16384,16384,bytes,29584999.0,ns,2520
256bit,blake2b_simd,16384,16384,bytes,30764161.0,ns,2604
256bit,blake2b_simd,16384,16384,bytes,31782964.0,ns,2688
256bit,blake2b_simd,16384,16384,bytes,32443721.0,ns,2772
256bit,blake2b_simd,16384,16384,bytes,33479518.0,ns,2856
256bit,blake2b_simd,16384,16384,bytes,34641447.0,ns,2940
256bit,blake2b_simd,16384,16384,bytes,35461930.0,ns,3024
256bit,blake2b_simd,16384,16384,bytes,36767142.0,ns,3108
256bit,blake2b_simd,16384,16384,bytes,37561566.0,ns,3192
256bit,blake2b_simd,16384,16384,bytes,38400475.0,ns,3276
256bit,blake2b_simd,16384,16384,bytes,39565240.0,ns,3360
256bit,blake2b_simd,16384,16384,bytes,40460236.0,ns,3444
256bit,blake2b_simd,16384,16384,bytes,41377626.0,ns,3528
256bit,blake2b_simd,16384,16384,bytes,42239807.0,ns,3612
256bit,blake2b_simd,16384,16384,bytes,43375037.0,ns,3696
256bit,blake2b_simd,16384,16384,bytes,44848441.0,ns,3780
256bit,blake2b_simd,16384,16384,bytes,45800016.0,ns,3864
256bit,blake2b_simd,16384,16384,bytes,46699030.0,ns,3948
256bit,blake2b_simd,16384,16384,bytes,47278082.0,ns,4032
256bit,blake2b_simd,16384,16384,bytes,48376988.0,ns,4116
256bit,blake2b_simd,16384,16384,bytes,49392967.0,ns,4200
256bit,blake2b_simd,16384,16384,bytes,50278765.0,ns,4284
256bit,blake2b_simd,16384,16384,bytes,51371903.0,ns,4368
256bit,blake2b_simd,16384,16384,bytes,52633922.0,ns,4452
256bit,blake2b_simd,16384,16384,bytes,53647908.0,ns,4536
256bit,blake2b_simd,16384,16384,bytes,54341256.0,ns,4620
256bit,blake2b_simd,16384,16384,bytes,55244820.0,ns,4704
256bit,blake2b_simd,16384,16384,bytes,56254405.0,ns,4788
256bit,blake2b_simd,16384,16384,bytes,57191313.0,ns,4872
256bit,blake2b_simd,16384,16384,bytes,58074918.0,ns,4956
256bit,blake2b_simd,16384,16384,bytes,59080045.0,ns,5040
256bit,blake2b_simd,16384,16384,bytes,60441585.0,ns,5124
256bit,blake2b_simd,16384,16384,bytes,61413901.0,ns,5208
256bit,blake2b_simd,16384,16384,bytes,62025443.0,ns,5292
256bit,blake2b_simd,16384,16384,bytes,63054418.0,ns,5376
256bit,blake2b_simd,16384,16384,bytes,64663412.0,ns,5460
256bit,blake2b_simd,16384,16384,bytes,64931508.0,ns,5544
256bit,blake2b_simd,16384,16384,bytes,66098164.0,ns,5628
256bit,blake2b_simd,16384,16384,bytes,67973551.0,ns,5712
256bit,blake2b_simd,16384,16384,bytes,68196070.0,ns,5796
256bit,blake2b_simd,16384,16384,bytes,68636725.0,ns,5880
256bit,blake2b_simd,16384,16384,bytes,70347995.0,ns,5964
256bit,blake2b_simd,16384,16384,bytes,71538388.0,ns,6048
256bit,blake2b_simd,16384,16384,bytes,72585676.0,ns,6132
256bit,blake2b_simd,16384,16384,bytes,73481034.0,ns,6216
256bit,blake2b_simd,16384,16384,bytes,73940645.0,ns,6300
256bit,blake2b_simd,16384,16384,bytes,75746769.0,ns,6384
256bit,blake2b_simd,16384,16384,bytes,75975146.0,ns,6468
256bit,blake2b_simd,16384,16384,bytes,76983702.0,ns,6552
256bit,blake2b_simd,16384,16384,bytes,78260148.0,ns,6636
256bit,blake2b_simd,16384,16384,bytes,78064425.0,ns,6720
256bit,blake2b_simd,16384,16384,bytes,79097514.0,ns,6804
256bit,blake2b_simd,16384,16384,bytes,80227412.0,ns,6888
256bit,blake2b_simd,16384,16384,bytes,80974584.0,ns,6972
256bit,blake2b_simd,16384,16384,bytes,82008697.0,ns,7056
256bit,blake2b_simd,16384,16384,bytes,83327989.0,ns,7140
256bit,blake2b_simd,16384,16384,bytes,84215079.0,ns,7224
256bit,blake2b_simd,16384,16384,bytes,85724714.0,ns,7308
256bit,blake2b_simd,16384,16384,bytes,86878678.0,ns,7392
256bit,blake2b_simd,16384,16384,bytes,88044644.0,ns,7476
256bit,blake2b_simd,16384,16384,bytes,89202955.0,ns,7560
256bit,blake2b_simd,16384,16384,bytes,90136595.0,ns,7644
256bit,blake2b_simd,16384,16384,bytes,90805259.0,ns,7728
256bit,blake2b_simd,16384,16384,bytes,92307950.0,ns,7812
256bit,blake2b_simd,16384,16384,bytes,93028390.0,ns,7896
256bit,blake2b_simd,16384,16384,bytes,93677106.0,ns,7980
256bit,blake2b_simd,16384,16384,bytes,95109584.0,ns,8064
256bit,blake2b_simd,16384,16384,bytes,95616334.0,ns,8148
256bit,blake2b_simd,16384,16384,bytes,96942829.0,ns,8232
256bit,blake2b_simd,16384,16384,bytes,97477054.0,ns,8316
256bit,blake2b_simd,16384,16384,bytes,98478113.0,ns,8400
256bit,blake2b_simd,1,1,bytes,979700.0,ns,4637
256bit,blake2b_simd,1,1,bytes,1958468.0,ns,9274
256bit,blake2b_simd,1,1,bytes,2931976.0,ns,13911
256bit,blake2b_simd,1,1,bytes,3982541.0,ns,18548
256bit,blake2b_simd,1,1,bytes,5167395.0,ns,23185
256bit,blake2b_simd,1,1,bytes,6128107.0,ns,27822
256bit,blake2b_simd,1,1,bytes,6965055.0,ns,32459
256bit,blake2b_simd,1,1,bytes,7790739.0,ns,37096
256bit,blake2b_simd,1,1,bytes,8887401.0,ns,41733
256bit,blake2b_simd,1,1,bytes,9996261.0,ns,46370
256bit,blake2b_simd,1,1,bytes,10935591.0,ns,51007
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256bit,blake2b_simd,1,1,bytes,13788807.0,ns,64918
256bit,blake2b_simd,1,1,bytes,14833452.0,ns,69555
256bit,blake2b_simd,1,1,bytes,15839241.0,ns,74192
256bit,blake2b_simd,1,1,bytes,16799604.0,ns,78829
256bit,blake2b_simd,1,1,bytes,17742124.0,ns,83466
256bit,blake2b_simd,1,1,bytes,18898741.0,ns,88103
256bit,blake2b_simd,1,1,bytes,19819828.0,ns,92740
256bit,blake2b_simd,1,1,bytes,20791302.0,ns,97377
256bit,blake2b_simd,1,1,bytes,21772595.0,ns,102014
256bit,blake2b_simd,1,1,bytes,22724322.0,ns,106651
256bit,blake2b_simd,1,1,bytes,23606525.0,ns,111288
256bit,blake2b_simd,1,1,bytes,24638264.0,ns,115925
256bit,blake2b_simd,1,1,bytes,26293007.0,ns,120562
256bit,blake2b_simd,1,1,bytes,27052467.0,ns,125199
256bit,blake2b_simd,1,1,bytes,27520505.0,ns,129836
256bit,blake2b_simd,1,1,bytes,28590748.0,ns,134473
256bit,blake2b_simd,1,1,bytes,29700406.0,ns,139110
256bit,blake2b_simd,1,1,bytes,30689074.0,ns,143747
256bit,blake2b_simd,1,1,bytes,33529423.0,ns,148384
256bit,blake2b_simd,1,1,bytes,32290466.0,ns,153021
256bit,blake2b_simd,1,1,bytes,33614577.0,ns,157658
256bit,blake2b_simd,1,1,bytes,34377029.0,ns,162295
256bit,blake2b_simd,1,1,bytes,35613814.0,ns,166932
256bit,blake2b_simd,1,1,bytes,36582992.0,ns,171569
256bit,blake2b_simd,1,1,bytes,37385652.0,ns,176206
256bit,blake2b_simd,1,1,bytes,38388486.0,ns,180843
256bit,blake2b_simd,1,1,bytes,39574753.0,ns,185480
256bit,blake2b_simd,1,1,bytes,40433331.0,ns,190117
256bit,blake2b_simd,1,1,bytes,41362503.0,ns,194754
256bit,blake2b_simd,1,1,bytes,42307787.0,ns,199391
256bit,blake2b_simd,1,1,bytes,43351129.0,ns,204028
256bit,blake2b_simd,1,1,bytes,44317426.0,ns,208665
256bit,blake2b_simd,1,1,bytes,45056701.0,ns,213302
256bit,blake2b_simd,1,1,bytes,46008728.0,ns,217939
256bit,blake2b_simd,1,1,bytes,47029085.0,ns,222576
256bit,blake2b_simd,1,1,bytes,48166528.0,ns,227213
256bit,blake2b_simd,1,1,bytes,49058369.0,ns,231850
256bit,blake2b_simd,1,1,bytes,50005897.0,ns,236487
256bit,blake2b_simd,1,1,bytes,50945671.0,ns,241124
256bit,blake2b_simd,1,1,bytes,51983971.0,ns,245761
256bit,blake2b_simd,1,1,bytes,52803665.0,ns,250398
256bit,blake2b_simd,1,1,bytes,53870032.0,ns,255035
256bit,blake2b_simd,1,1,bytes,55007253.0,ns,259672
256bit,blake2b_simd,1,1,bytes,55765408.0,ns,264309
256bit,blake2b_simd,1,1,bytes,57117123.0,ns,268946
256bit,blake2b_simd,1,1,bytes,57836532.0,ns,273583
256bit,blake2b_simd,1,1,bytes,58797465.0,ns,278220
256bit,blake2b_simd,1,1,bytes,59759240.0,ns,282857
256bit,blake2b_simd,1,1,bytes,60755071.0,ns,287494
256bit,blake2b_simd,1,1,bytes,61718120.0,ns,292131
256bit,blake2b_simd,1,1,bytes,63934803.0,ns,296768
256bit,blake2b_simd,1,1,bytes,66392399.0,ns,301405
256bit,blake2b_simd,1,1,bytes,66313305.0,ns,306042
256bit,blake2b_simd,1,1,bytes,66905052.0,ns,310679
256bit,blake2b_simd,1,1,bytes,67087532.0,ns,315316
256bit,blake2b_simd,1,1,bytes,67910991.0,ns,319953
256bit,blake2b_simd,1,1,bytes,68959764.0,ns,324590
256bit,blake2b_simd,1,1,bytes,69945885.0,ns,329227
256bit,blake2b_simd,1,1,bytes,72242534.0,ns,333864
256bit,blake2b_simd,1,1,bytes,70313050.0,ns,338501
256bit,blake2b_simd,1,1,bytes,73033680.0,ns,343138
256bit,blake2b_simd,1,1,bytes,72888834.0,ns,347775
256bit,blake2b_simd,1,1,bytes,73770463.0,ns,352412
256bit,blake2b_simd,1,1,bytes,75627306.0,ns,357049
256bit,blake2b_simd,1,1,bytes,76520490.0,ns,361686
256bit,blake2b_simd,1,1,bytes,77664055.0,ns,366323
256bit,blake2b_simd,1,1,bytes,78470963.0,ns,370960
256bit,blake2b_simd,1,1,bytes,78677280.0,ns,375597
256bit,blake2b_simd,1,1,bytes,79371235.0,ns,380234
256bit,blake2b_simd,1,1,bytes,80407329.0,ns,384871
256bit,blake2b_simd,1,1,bytes,81424250.0,ns,389508
256bit,blake2b_simd,1,1,bytes,82434582.0,ns,394145
256bit,blake2b_simd,1,1,bytes,83450427.0,ns,398782
256bit,blake2b_simd,1,1,bytes,84771471.0,ns,403419
256bit,blake2b_simd,1,1,bytes,85730046.0,ns,408056
256bit,blake2b_simd,1,1,bytes,86259637.0,ns,412693
256bit,blake2b_simd,1,1,bytes,88798309.0,ns,417330
256bit,blake2b_simd,1,1,bytes,89942273.0,ns,421967
256bit,blake2b_simd,1,1,bytes,94319331.0,ns,426604
256bit,blake2b_simd,1,1,bytes,93302660.0,ns,431241
256bit,blake2b_simd,1,1,bytes,91624836.0,ns,435878
256bit,blake2b_simd,1,1,bytes,92164116.0,ns,440515
256bit,blake2b_simd,1,1,bytes,93259227.0,ns,445152
256bit,blake2b_simd,1,1,bytes,94100095.0,ns,449789
256bit,blake2b_simd,1,1,bytes,96095880.0,ns,454426
256bit,blake2b_simd,1,1,bytes,96170343.0,ns,459063
256bit,blake2b_simd,1,1,bytes,97083925.0,ns,463700
256bit,blake2b_simd,64,64,bytes,976953.0,ns,4810
256bit,blake2b_simd,64,64,bytes,1977192.0,ns,9620
256bit,blake2b_simd,64,64,bytes,3007569.0,ns,14430
256bit,blake2b_simd,64,64,bytes,3974985.0,ns,19240
256bit,blake2b_simd,64,64,bytes,5189224.0,ns,24050
256bit,blake2b_simd,64,64,bytes,6165175.0,ns,28860
256bit,blake2b_simd,64,64,bytes,6987505.0,ns,33670
256bit,blake2b_simd,64,64,bytes,7870707.0,ns,38480
256bit,blake2b_simd,64,64,bytes,8869785.0,ns,43290
256bit,blake2b_simd,64,64,bytes,10003038.0,ns,48100
256bit,blake2b_simd,64,64,bytes,11120392.0,ns,52910
256bit,blake2b_simd,64,64,bytes,12142534.0,ns,57720
256bit,blake2b_simd,64,64,bytes,13161266.0,ns,62530
256bit,blake2b_simd,64,64,bytes,14362561.0,ns,67340
256bit,blake2b_simd,64,64,bytes,15712571.0,ns,72150
256bit,blake2b_simd,64,64,bytes,16194595.0,ns,76960
256bit,blake2b_simd,64,64,bytes,16562671.0,ns,81770
256bit,blake2b_simd,64,64,bytes,17898113.0,ns,86580
256bit,blake2b_simd,64,64,bytes,18701042.0,ns,91390
256bit,blake2b_simd,64,64,bytes,19744646.0,ns,96200
256bit,blake2b_simd,64,64,bytes,20639953.0,ns,101010
256bit,blake2b_simd,64,64,bytes,21598000.0,ns,105820
256bit,blake2b_simd,64,64,bytes,22592497.0,ns,110630
256bit,blake2b_simd,64,64,bytes,23597635.0,ns,115440
256bit,blake2b_simd,64,64,bytes,24570233.0,ns,120250
256bit,blake2b_simd,64,64,bytes,25500215.0,ns,125060
256bit,blake2b_simd,64,64,bytes,26479997.0,ns,129870
256bit,blake2b_simd,64,64,bytes,27426330.0,ns,134680
256bit,blake2b_simd,64,64,bytes,28485582.0,ns,139490
256bit,blake2b_simd,64,64,bytes,29450553.0,ns,144300
256bit,blake2b_simd,64,64,bytes,30425684.0,ns,149110
256bit,blake2b_simd,64,64,bytes,31396566.0,ns,153920
256bit,blake2b_simd,64,64,bytes,32455958.0,ns,158730
256bit,blake2b_simd,64,64,bytes,33482538.0,ns,163540
256bit,blake2b_simd,64,64,bytes,34315145.0,ns,168350
256bit,blake2b_simd,64,64,bytes,35304582.0,ns,173160
256bit,blake2b_simd,64,64,bytes,36217324.0,ns,177970
256bit,blake2b_simd,64,64,bytes,37164992.0,ns,182780
256bit,blake2b_simd,64,64,bytes,38166212.0,ns,187590
256bit,blake2b_simd,64,64,bytes,39163596.0,ns,192400
256bit,blake2b_simd,64,64,bytes,40078571.0,ns,197210
256bit,blake2b_simd,64,64,bytes,41285566.0,ns,202020
256bit,blake2b_simd,64,64,bytes,42466051.0,ns,206830
256bit,blake2b_simd,64,64,bytes,43485756.0,ns,211640
256bit,blake2b_simd,64,64,bytes,44259892.0,ns,216450
256bit,blake2b_simd,64,64,bytes,45764458.0,ns,221260
256bit,blake2b_simd,64,64,bytes,46639366.0,ns,226070
256bit,blake2b_simd,64,64,bytes,47638974.0,ns,230880
256bit,blake2b_simd,64,64,bytes,48548197.0,ns,235690
256bit,blake2b_simd,64,64,bytes,49459134.0,ns,240500
256bit,blake2b_simd,64,64,bytes,51752484.0,ns,245310
256bit,blake2b_simd,64,64,bytes,51944462.0,ns,250120
256bit,blake2b_simd,64,64,bytes,52304403.0,ns,254930
256bit,blake2b_simd,64,64,bytes,53328046.0,ns,259740
256bit,blake2b_simd,64,64,bytes,54515834.0,ns,264550
256bit,blake2b_simd,64,64,bytes,55846226.0,ns,269360
256bit,blake2b_simd,64,64,bytes,56556981.0,ns,274170
256bit,blake2b_simd,64,64,bytes,57345021.0,ns,278980
256bit,blake2b_simd,64,64,bytes,58422759.0,ns,283790
256bit,blake2b_simd,64,64,bytes,59266537.0,ns,288600
256bit,blake2b_simd,64,64,bytes,60759622.0,ns,293410
256bit,blake2b_simd,64,64,bytes,61705076.0,ns,298220
256bit,blake2b_simd,64,64,bytes,62967487.0,ns,303030
256bit,blake2b_simd,64,64,bytes,63840941.0,ns,307840
256bit,blake2b_simd,64,64,bytes,64524885.0,ns,312650
256bit,blake2b_simd,64,64,bytes,65205170.0,ns,317460
256bit,blake2b_simd,64,64,bytes,66395913.0,ns,322270
256bit,blake2b_simd,64,64,bytes,66190460.0,ns,327080
256bit,blake2b_simd,64,64,bytes,67721576.0,ns,331890
256bit,blake2b_simd,64,64,bytes,68670016.0,ns,336700
256bit,blake2b_simd,64,64,bytes,69650476.0,ns,341510
256bit,blake2b_simd,64,64,bytes,70739376.0,ns,346320
256bit,blake2b_simd,64,64,bytes,71640193.0,ns,351130
256bit,blake2b_simd,64,64,bytes,72634911.0,ns,355940
256bit,blake2b_simd,64,64,bytes,73493608.0,ns,360750
256bit,blake2b_simd,64,64,bytes,74545336.0,ns,365560
256bit,blake2b_simd,64,64,bytes,75731561.0,ns,370370
256bit,blake2b_simd,64,64,bytes,76641883.0,ns,375180
256bit,blake2b_simd,64,64,bytes,77564335.0,ns,379990
256bit,blake2b_simd,64,64,bytes,78549868.0,ns,384800
256bit,blake2b_simd,64,64,bytes,79544025.0,ns,389610
256bit,blake2b_simd,64,64,bytes,80778672.0,ns,394420
256bit,blake2b_simd,64,64,bytes,81503353.0,ns,399230
256bit,blake2b_simd,64,64,bytes,82364044.0,ns,404040
256bit,blake2b_simd,64,64,bytes,83722669.0,ns,408850
256bit,blake2b_simd,64,64,bytes,84303413.0,ns,413660
256bit,blake2b_simd,64,64,bytes,85458931.0,ns,418470
256bit,blake2b_simd,64,64,bytes,86689952.0,ns,423280
256bit,blake2b_simd,64,64,bytes,87530605.0,ns,428090
256bit,blake2b_simd,64,64,bytes,88719894.0,ns,432900
256bit,blake2b_simd,64,64,bytes,89745564.0,ns,437710
256bit,blake2b_simd,64,64,bytes,90363640.0,ns,442520
256bit,blake2b_simd,64,64,bytes,91304865.0,ns,447330
256bit,blake2b_simd,64,64,bytes,92282328.0,ns,452140
256bit,blake2b_simd,64,64,bytes,93324169.0,ns,456950
256bit,blake2b_simd,64,64,bytes,94275022.0,ns,461760
256bit,blake2b_simd,64,64,bytes,95208012.0,ns,466570
256bit,blake2b_simd,64,64,bytes,96932429.0,ns,471380
256bit,blake2b_simd,64,64,bytes,98155395.0,ns,476190
256bit,blake2b_simd,64,64,bytes,99183036.0,ns,481000
256bit,blake2b_simd,16,16,bytes,986452.0,ns,4754
256bit,blake2b_simd,16,16,bytes,1980038.0,ns,9508
256bit,blake2b_simd,16,16,bytes,2939820.0,ns,14262
256bit,blake2b_simd,16,16,bytes,3927725.0,ns,19016
256bit,blake2b_simd,16,16,bytes,5026202.0,ns,23770
256bit,blake2b_simd,16,16,bytes,6102907.0,ns,28524
256bit,blake2b_simd,16,16,bytes,6977445.0,ns,33278
256bit,blake2b_simd,16,16,bytes,7987062.0,ns,38032
256bit,blake2b_simd,16,16,bytes,8992421.0,ns,42786
256bit,blake2b_simd,16,16,bytes,9920531.0,ns,47540
256bit,blake2b_simd,16,16,bytes,10882458.0,ns,52294
256bit,blake2b_simd,16,16,bytes,11887214.0,ns,57048
256bit,blake2b_simd,16,16,bytes,12914644.0,ns,61802
256bit,blake2b_simd,16,16,bytes,13887481.0,ns,66556
256bit,blake2b_simd,16,16,bytes,14835260.0,ns,71310
256bit,blake2b_simd,16,16,bytes,15732260.0,ns,76064
256bit,blake2b_simd,16,16,bytes,16794798.0,ns,80818
256bit,blake2b_simd,16,16,bytes,17755481.0,ns,85572
256bit,blake2b_simd,16,16,bytes,18727839.0,ns,90326
256bit,blake2b_simd,16,16,bytes,19830392.0,ns,95080
256bit,blake2b_simd,16,16,bytes,20722824.0,ns,99834
256bit,blake2b_simd,16,16,bytes,21587474.0,ns,104588
256bit,blake2b_simd,16,16,bytes,22594334.0,ns,109342
256bit,blake2b_simd,16,16,bytes,23626805.0,ns,114096
256bit,blake2b_simd,16,16,bytes,24792081.0,ns,118850
256bit,blake2b_simd,16,16,bytes,25499096.0,ns,123604
256bit,blake2b_simd,16,16,bytes,26601443.0,ns,128358
256bit,blake2b_simd,16,16,bytes,27574438.0,ns,133112
256bit,blake2b_simd,16,16,bytes,28532617.0,ns,137866
256bit,blake2b_simd,16,16,bytes,29568553.0,ns,142620
256bit,blake2b_simd,16,16,bytes,30358861.0,ns,147374
256bit,blake2b_simd,16,16,bytes,31463378.0,ns,152128
256bit,blake2b_simd,16,16,bytes,32373135.0,ns,156882
256bit,blake2b_simd,16,16,bytes,33550381.0,ns,161636
256bit,blake2b_simd,16,16,bytes,34402127.0,ns,166390
256bit,blake2b_simd,16,16,bytes,35403697.0,ns,171144
256bit,blake2b_simd,16,16,bytes,36354523.0,ns,175898
256bit,blake2b_simd,16,16,bytes,37682047.0,ns,180652
256bit,blake2b_simd,16,16,bytes,38510509.0,ns,185406
256bit,blake2b_simd,16,16,bytes,39529032.0,ns,190160
256bit,blake2b_simd,16,16,bytes,40673677.0,ns,194914
256bit,blake2b_simd,16,16,bytes,41805400.0,ns,199668
256bit,blake2b_simd,16,16,bytes,42617496.0,ns,204422
256bit,blake2b_simd,16,16,bytes,43273916.0,ns,209176
256bit,blake2b_simd,16,16,bytes,44138806.0,ns,213930
256bit,blake2b_simd,16,16,bytes,45185222.0,ns,218684
256bit,blake2b_simd,16,16,bytes,46216602.0,ns,223438
256bit,blake2b_simd,16,16,bytes,46995787.0,ns,228192
256bit,blake2b_simd,16,16,bytes,48306200.0,ns,232946
256bit,blake2b_simd,16,16,bytes,49100292.0,ns,237700
256bit,blake2b_simd,16,16,bytes,50368246.0,ns,242454
256bit,blake2b_simd,16,16,bytes,50894376.0,ns,247208
256bit,blake2b_simd,16,16,bytes,52309260.0,ns,251962
256bit,blake2b_simd,16,16,bytes,53239283.0,ns,256716
256bit,blake2b_simd,16,16,bytes,53967008.0,ns,261470
256bit,blake2b_simd,16,16,bytes,55247937.0,ns,266224
256bit,blake2b_simd,16,16,bytes,56367806.0,ns,270978
256bit,blake2b_simd,16,16,bytes,56981263.0,ns,275732
256bit,blake2b_simd,16,16,bytes,60363599.0,ns,280486
256bit,blake2b_simd,16,16,bytes,58689309.0,ns,285240
256bit,blake2b_simd,16,16,bytes,59703785.0,ns,289994
256bit,blake2b_simd,16,16,bytes,61442741.0,ns,294748
256bit,blake2b_simd,16,16,bytes,62571116.0,ns,299502
256bit,blake2b_simd,16,16,bytes,62761460.0,ns,304256
256bit,blake2b_simd,16,16,bytes,64023422.0,ns,309010
256bit,blake2b_simd,16,16,bytes,64749213.0,ns,313764
256bit,blake2b_simd,16,16,bytes,65620405.0,ns,318518
256bit,blake2b_simd,16,16,bytes,66639240.0,ns,323272
256bit,blake2b_simd,16,16,bytes,67744711.0,ns,328026
256bit,blake2b_simd,16,16,bytes,68892743.0,ns,332780
256bit,blake2b_simd,16,16,bytes,69711984.0,ns,337534
256bit,blake2b_simd,16,16,bytes,70616700.0,ns,342288
256bit,blake2b_simd,16,16,bytes,71663558.0,ns,347042
256bit,blake2b_simd,16,16,bytes,72963893.0,ns,351796
256bit,blake2b_simd,16,16,bytes,73824754.0,ns,356550
256bit,blake2b_simd,16,16,bytes,74945582.0,ns,361304
256bit,blake2b_simd,16,16,bytes,76425614.0,ns,366058
256bit,blake2b_simd,16,16,bytes,77486288.0,ns,370812
256bit,blake2b_simd,16,16,bytes,77761576.0,ns,375566
256bit,blake2b_simd,16,16,bytes,78601177.0,ns,380320
256bit,blake2b_simd,16,16,bytes,79517785.0,ns,385074
256bit,blake2b_simd,16,16,bytes,80631983.0,ns,389828
256bit,blake2b_simd,16,16,bytes,81563941.0,ns,394582
256bit,blake2b_simd,16,16,bytes,82474527.0,ns,399336
256bit,blake2b_simd,16,16,bytes,83498352.0,ns,404090
256bit,blake2b_simd,16,16,bytes,84462421.0,ns,408844
256bit,blake2b_simd,16,16,bytes,86063803.0,ns,413598
256bit,blake2b_simd,16,16,bytes,86822960.0,ns,418352
256bit,blake2b_simd,16,16,bytes,88103887.0,ns,423106
256bit,blake2b_simd,16,16,bytes,89402799.0,ns,427860
256bit,blake2b_simd,16,16,bytes,90196621.0,ns,432614
256bit,blake2b_simd,16,16,bytes,91033086.0,ns,437368
256bit,blake2b_simd,16,16,bytes,91486015.0,ns,442122
256bit,blake2b_simd,16,16,bytes,92391081.0,ns,446876
256bit,blake2b_simd,16,16,bytes,95106510.0,ns,451630
256bit,blake2b_simd,16,16,bytes,94282599.0,ns,456384
256bit,blake2b_simd,16,16,bytes,95166085.0,ns,461138
256bit,blake2b_simd,16,16,bytes,96331771.0,ns,465892
256bit,blake2b_simd,16,16,bytes,98299836.0,ns,470646
256bit,blake2b_simd,16,16,bytes,98926587.0,ns,475400
256bit,blake2b_simd,1024,1024,bytes,978798.0,ns,1174
256bit,blake2b_simd,1024,1024,bytes,1959629.0,ns,2348
256bit,blake2b_simd,1024,1024,bytes,2939728.0,ns,3522
256bit,blake2b_simd,1024,1024,bytes,3929166.0,ns,4696
256bit,blake2b_simd,1024,1024,bytes,5008215.0,ns,5870
256bit,blake2b_simd,1024,1024,bytes,6001902.0,ns,7044
256bit,blake2b_simd,1024,1024,bytes,6943488.0,ns,8218
256bit,blake2b_simd,1024,1024,bytes,7980115.0,ns,9392
256bit,blake2b_simd,1024,1024,bytes,9026314.0,ns,10566
256bit,blake2b_simd,1024,1024,bytes,9999478.0,ns,11740
256bit,blake2b_simd,1024,1024,bytes,10930786.0,ns,12914
256bit,blake2b_simd,1024,1024,bytes,11850679.0,ns,14088
256bit,blake2b_simd,1024,1024,bytes,12772388.0,ns,15262
256bit,blake2b_simd,1024,1024,bytes,13753740.0,ns,16436
256bit,blake2b_simd,1024,1024,bytes,14764878.0,ns,17610
256bit,blake2b_simd,1024,1024,bytes,15730070.0,ns,18784
256bit,blake2b_simd,1024,1024,bytes,16708688.0,ns,19958
256bit,blake2b_simd,1024,1024,bytes,17633902.0,ns,21132
256bit,blake2b_simd,1024,1024,bytes,18576981.0,ns,22306
256bit,blake2b_simd,1024,1024,bytes,19599663.0,ns,23480
256bit,blake2b_simd,1024,1024,bytes,20629458.0,ns,24654
256bit,blake2b_simd,1024,1024,bytes,21561956.0,ns,25828
256bit,blake2b_simd,1024,1024,bytes,22567004.0,ns,27002
256bit,blake2b_simd,1024,1024,bytes,23507317.0,ns,28176
256bit,blake2b_simd,1024,1024,bytes,24477249.0,ns,29350
256bit,blake2b_simd,1024,1024,bytes,25450454.0,ns,30524
256bit,blake2b_simd,1024,1024,bytes,26435383.0,ns,31698
256bit,blake2b_simd,1024,1024,bytes,27545553.0,ns,32872
256bit,blake2b_simd,1024,1024,bytes,28470356.0,ns,34046
256bit,blake2b_simd,1024,1024,bytes,29460144.0,ns,35220
256bit,blake2b_simd,1024,1024,bytes,30493918.0,ns,36394
256bit,blake2b_simd,1024,1024,bytes,31330223.0,ns,37568
256bit,blake2b_simd,1024,1024,bytes,32402057.0,ns,38742
256bit,blake2b_simd,1024,1024,bytes,33349425.0,ns,39916
256bit,blake2b_simd,1024,1024,bytes,34304186.0,ns,41090
256bit,blake2b_simd,1024,1024,bytes,35346343.0,ns,42264
256bit,blake2b_simd,1024,1024,bytes,36308189.0,ns,43438
256bit,blake2b_simd,1024,1024,bytes,37325782.0,ns,44612
256bit,blake2b_simd,1024,1024,bytes,38162998.0,ns,45786
256bit,blake2b_simd,1024,1024,bytes,39191500.0,ns,46960
256bit,blake2b_simd,1024,1024,bytes,40319543.0,ns,48134
256bit,blake2b_simd,1024,1024,bytes,41125239.0,ns,49308
256bit,blake2b_simd,1024,1024,bytes,42148010.0,ns,50482
256bit,blake2b_simd,1024,1024,bytes,43071923.0,ns,51656
256bit,blake2b_simd,1024,1024,bytes,44070198.0,ns,52830
256bit,blake2b_simd,1024,1024,bytes,45019417.0,ns,54004
256bit,blake2b_simd,1024,1024,bytes,46657920.0,ns,55178
256bit,blake2b_simd,1024,1024,bytes,47465341.0,ns,56352
256bit,blake2b_simd,1024,1024,bytes,48178578.0,ns,57526
256bit,blake2b_simd,1024,1024,bytes,49213802.0,ns,58700
256bit,blake2b_simd,1024,1024,bytes,49954274.0,ns,59874
256bit,blake2b_simd,1024,1024,bytes,50941556.0,ns,61048
256bit,blake2b_simd,1024,1024,bytes,52023963.0,ns,62222
256bit,blake2b_simd,1024,1024,bytes,53077682.0,ns,63396
256bit,blake2b_simd,1024,1024,bytes,53984013.0,ns,64570
256bit,blake2b_simd,1024,1024,bytes,55529046.0,ns,65744
256bit,blake2b_simd,1024,1024,bytes,56073990.0,ns,66918
256bit,blake2b_simd,1024,1024,bytes,56971231.0,ns,68092
256bit,blake2b_simd,1024,1024,bytes,57801943.0,ns,69266
256bit,blake2b_simd,1024,1024,bytes,59341127.0,ns,70440
256bit,blake2b_simd,1024,1024,bytes,60201136.0,ns,71614
256bit,blake2b_simd,1024,1024,bytes,61035376.0,ns,72788
256bit,blake2b_simd,1024,1024,bytes,61690593.0,ns,73962
256bit,blake2b_simd,1024,1024,bytes,63793667.0,ns,75136
256bit,blake2b_simd,1024,1024,bytes,64562772.0,ns,76310
256bit,blake2b_simd,1024,1024,bytes,65708059.0,ns,77484
256bit,blake2b_simd,1024,1024,bytes,65344936.0,ns,78658
256bit,blake2b_simd,1024,1024,bytes,66608285.0,ns,79832
256bit,blake2b_simd,1024,1024,bytes,67619053.0,ns,81006
256bit,blake2b_simd,1024,1024,bytes,68746797.0,ns,82180
256bit,blake2b_simd,1024,1024,bytes,70021641.0,ns,83354
256bit,blake2b_simd,1024,1024,bytes,72117292.0,ns,84528
256bit,blake2b_simd,1024,1024,bytes,72720167.0,ns,85702
256bit,blake2b_simd,1024,1024,bytes,73846589.0,ns,86876
256bit,blake2b_simd,1024,1024,bytes,74492085.0,ns,88050
256bit,blake2b_simd,1024,1024,bytes,76048933.0,ns,89224
256bit,blake2b_simd,1024,1024,bytes,76885677.0,ns,90398
256bit,blake2b_simd,1024,1024,bytes,77422236.0,ns,91572
256bit,blake2b_simd,1024,1024,bytes,78445258.0,ns,92746
256bit,blake2b_simd,1024,1024,bytes,79253439.0,ns,93920
256bit,blake2b_simd,1024,1024,bytes,80291270.0,ns,95094
256bit,blake2b_simd,1024,1024,bytes,81182128.0,ns,96268
256bit,blake2b_simd,1024,1024,bytes,82905954.0,ns,97442
256bit,blake2b_simd,1024,1024,bytes,82468550.0,ns,98616
256bit,blake2b_simd,1024,1024,bytes,83149290.0,ns,99790
256bit,blake2b_simd,1024,1024,bytes,84188003.0,ns,100964
256bit,blake2b_simd,1024,1024,bytes,85221846.0,ns,102138
256bit,blake2b_simd,1024,1024,bytes,86495554.0,ns,103312
256bit,blake2b_simd,1024,1024,bytes,87613463.0,ns,104486
256bit,blake2b_simd,1024,1024,bytes,89176431.0,ns,105660
256bit,blake2b_simd,1024,1024,bytes,90373797.0,ns,106834
256bit,blake2b_simd,1024,1024,bytes,91300534.0,ns,108008
256bit,blake2b_simd,1024,1024,bytes,91945593.0,ns,109182
256bit,blake2b_simd,1024,1024,bytes,93343953.0,ns,110356
256bit,blake2b_simd,1024,1024,bytes,94907192.0,ns,111530
256bit,blake2b_simd,1024,1024,bytes,94946799.0,ns,112704
256bit,blake2b_simd,1024,1024,bytes,96396047.0,ns,113878
256bit,blake2b_simd,1024,1024,bytes,97047157.0,ns,115052
256bit,blake2b_simd,1024,1024,bytes,99121454.0,ns,116226
256bit,blake2b_simd,1024,1024,bytes,98906794.0,ns,117400
256bit,blake2b_simd,65536,65536,bytes,1019085.0,ns,22
256bit,blake2b_simd,65536,65536,bytes,2048669.0,ns,44
256bit,blake2b_simd,65536,65536,bytes,3078784.0,ns,66
256bit,blake2b_simd,65536,65536,bytes,4104992.0,ns,88
256bit,blake2b_simd,65536,65536,bytes,5216373.0,ns,110
256bit,blake2b_simd,65536,65536,bytes,6283932.0,ns,132
256bit,blake2b_simd,65536,65536,bytes,7259191.0,ns,154
256bit,blake2b_simd,65536,65536,bytes,8381434.0,ns,176
256bit,blake2b_simd,65536,65536,bytes,9451827.0,ns,198
256bit,blake2b_simd,65536,65536,bytes,10513302.0,ns,220
256bit,blake2b_simd,65536,65536,bytes,11437424.0,ns,242
256bit,blake2b_simd,65536,65536,bytes,12394620.0,ns,264
256bit,blake2b_simd,65536,65536,bytes,13472357.0,ns,286
256bit,blake2b_simd,65536,65536,bytes,14604417.0,ns,308
256bit,blake2b_simd,65536,65536,bytes,15651973.0,ns,330
256bit,blake2b_simd,65536,65536,bytes,15896796.0,ns,352
256bit,blake2b_simd,65536,65536,bytes,16945889.0,ns,374
256bit,blake2b_simd,65536,65536,bytes,18183843.0,ns,396
256bit,blake2b_simd,65536,65536,bytes,19416376.0,ns,418
256bit,blake2b_simd,65536,65536,bytes,20254804.0,ns,440
256bit,blake2b_simd,65536,65536,bytes,21317572.0,ns,462
256bit,blake2b_simd,65536,65536,bytes,22347207.0,ns,484
256bit,blake2b_simd,65536,65536,bytes,23379725.0,ns,506
256bit,blake2b_simd,65536,65536,bytes,24266457.0,ns,528
256bit,blake2b_simd,65536,65536,bytes,25423276.0,ns,550
256bit,blake2b_simd,65536,65536,bytes,26461756.0,ns,572
256bit,blake2b_simd,65536,65536,bytes,27427017.0,ns,594
256bit,blake2b_simd,65536,65536,bytes,28324420.0,ns,616
256bit,blake2b_simd,65536,65536,bytes,29395234.0,ns,638
256bit,blake2b_simd,65536,65536,bytes,30513255.0,ns,660
256bit,blake2b_simd,65536,65536,bytes,31520479.0,ns,682
256bit,blake2b_simd,65536,65536,bytes,32430614.0,ns,704
256bit,blake2b_simd,65536,65536,bytes,33427125.0,ns,726
256bit,blake2b_simd,65536,65536,bytes,34478841.0,ns,748
256bit,blake2b_simd,65536,65536,bytes,35612716.0,ns,770
256bit,blake2b_simd,65536,65536,bytes,36693198.0,ns,792
256bit,blake2b_simd,65536,65536,bytes,37759173.0,ns,814
256bit,blake2b_simd,65536,65536,bytes,38465747.0,ns,836
256bit,blake2b_simd,65536,65536,bytes,39923904.0,ns,858
256bit,blake2b_simd,65536,65536,bytes,40233427.0,ns,880
256bit,blake2b_simd,65536,65536,bytes,41607803.0,ns,902
256bit,blake2b_simd,65536,65536,bytes,42580018.0,ns,924
256bit,blake2b_simd,65536,65536,bytes,43566339.0,ns,946
256bit,blake2b_simd,65536,65536,bytes,44637913.0,ns,968
256bit,blake2b_simd,65536,65536,bytes,45568700.0,ns,990
256bit,blake2b_simd,65536,65536,bytes,46722411.0,ns,1012
256bit,blake2b_simd,65536,65536,bytes,47710255.0,ns,1034
256bit,blake2b_simd,65536,65536,bytes,48590466.0,ns,1056
256bit,blake2b_simd,65536,65536,bytes,49661228.0,ns,1078
256bit,blake2b_simd,65536,65536,bytes,50766417.0,ns,1100
256bit,blake2b_simd,65536,65536,bytes,51709235.0,ns,1122
256bit,blake2b_simd,65536,65536,bytes,52761212.0,ns,1144
256bit,blake2b_simd,65536,65536,bytes,53747394.0,ns,1166
256bit,blake2b_simd,65536,65536,bytes,54723065.0,ns,1188
256bit,blake2b_simd,65536,65536,bytes,55815489.0,ns,1210
256bit,blake2b_simd,65536,65536,bytes,56951961.0,ns,1232
256bit,blake2b_simd,65536,65536,bytes,57963609.0,ns,1254
256bit,blake2b_simd,65536,65536,bytes,58765587.0,ns,1276
256bit,blake2b_simd,65536,65536,bytes,59997480.0,ns,1298
256bit,blake2b_simd,65536,65536,bytes,60892035.0,ns,1320
256bit,blake2b_simd,65536,65536,bytes,61720624.0,ns,1342
256bit,blake2b_simd,65536,65536,bytes,62988877.0,ns,1364
256bit,blake2b_simd,65536,65536,bytes,64072445.0,ns,1386
256bit,blake2b_simd,65536,65536,bytes,65329545.0,ns,1408
256bit,blake2b_simd,65536,65536,bytes,65955597.0,ns,1430
256bit,blake2b_simd,65536,65536,bytes,66807459.0,ns,1452
256bit,blake2b_simd,65536,65536,bytes,67972744.0,ns,1474
256bit,blake2b_simd,65536,65536,bytes,68962041.0,ns,1496
256bit,blake2b_simd,65536,65536,bytes,69922114.0,ns,1518
256bit,blake2b_simd,65536,65536,bytes,71068631.0,ns,1540
256bit,blake2b_simd,65536,65536,bytes,72290716.0,ns,1562
256bit,blake2b_simd,65536,65536,bytes,73429395.0,ns,1584
256bit,blake2b_simd,65536,65536,bytes,75923071.0,ns,1606
256bit,blake2b_simd,65536,65536,bytes,74978419.0,ns,1628
256bit,blake2b_simd,65536,65536,bytes,76021955.0,ns,1650
256bit,blake2b_simd,65536,65536,bytes,76932517.0,ns,1672
256bit,blake2b_simd,65536,65536,bytes,78020093.0,ns,1694
256bit,blake2b_simd,65536,65536,bytes,78999681.0,ns,1716
256bit,blake2b_simd,65536,65536,bytes,79926057.0,ns,1738
256bit,blake2b_simd,65536,65536,bytes,81073719.0,ns,1760
256bit,blake2b_simd,65536,65536,bytes,82368823.0,ns,1782
256bit,blake2b_simd,65536,65536,bytes,83056570.0,ns,1804
256bit,blake2b_simd,65536,65536,bytes,84173955.0,ns,1826
256bit,blake2b_simd,65536,65536,bytes,85067818.0,ns,1848
256bit,blake2b_simd,65536,65536,bytes,86234506.0,ns,1870
256bit,blake2b_simd,65536,65536,bytes,88053815.0,ns,1892
256bit,blake2b_simd,65536,65536,bytes,88889707.0,ns,1914
256bit,blake2b_simd,65536,65536,bytes,89806050.0,ns,1936
256bit,blake2b_simd,65536,65536,bytes,91230307.0,ns,1958
256bit,blake2b_simd,65536,65536,bytes,91892485.0,ns,1980
256bit,blake2b_simd,65536,65536,bytes,91949482.0,ns,2002
256bit,blake2b_simd,65536,65536,bytes,93346885.0,ns,2024
256bit,blake2b_simd,65536,65536,bytes,94354898.0,ns,2046
256bit,blake2b_simd,65536,65536,bytes,95172287.0,ns,2068
256bit,blake2b_simd,65536,65536,bytes,96587219.0,ns,2090
256bit,blake2b_simd,65536,65536,bytes,97233584.0,ns,2112
256bit,blake2b_simd,65536,65536,bytes,98232535.0,ns,2134
256bit,blake2b_simd,65536,65536,bytes,99733854.0,ns,2156
256bit,blake2b_simd,65536,65536,bytes,100251226.0,ns,2178
256bit,blake2b_simd,65536,65536,bytes,101447250.0,ns,2200
256bit,blake2b_simd,4096,4096,bytes,992143.0,ns,328
256bit,blake2b_simd,4096,4096,bytes,1962715.0,ns,656
256bit,blake2b_simd,4096,4096,bytes,2942534.0,ns,984
256bit,blake2b_simd,4096,4096,bytes,3951749.0,ns,1312
256bit,blake2b_simd,4096,4096,bytes,5077237.0,ns,1640
256bit,blake2b_simd,4096,4096,bytes,6082936.0,ns,1968
256bit,blake2b_simd,4096,4096,bytes,6917738.0,ns,2296
256bit,blake2b_simd,4096,4096,bytes,8068605.0,ns,2624
256bit,blake2b_simd,4096,4096,bytes,9099502.0,ns,2952
256bit,blake2b_simd,4096,4096,bytes,10003115.0,ns,3280
256bit,blake2b_simd,4096,4096,bytes,10920705.0,ns,3608
256bit,blake2b_simd,4096,4096,bytes,11817154.0,ns,3936
256bit,blake2b_simd,4096,4096,bytes,12859844.0,ns,4264
256bit,blake2b_simd,4096,4096,bytes,13864010.0,ns,4592
256bit,blake2b_simd,4096,4096,bytes,14857584.0,ns,4920
256bit,blake2b_simd,4096,4096,bytes,15801716.0,ns,5248
256bit,blake2b_simd,4096,4096,bytes,16787617.0,ns,5576
256bit,blake2b_simd,4096,4096,bytes,17749161.0,ns,5904
256bit,blake2b_simd,4096,4096,bytes,18693002.0,ns,6232
256bit,blake2b_simd,4096,4096,bytes,19657552.0,ns,6560
256bit,blake2b_simd,4096,4096,bytes,20735098.0,ns,6888
256bit,blake2b_simd,4096,4096,bytes,21625907.0,ns,7216
256bit,blake2b_simd,4096,4096,bytes,22604974.0,ns,7544
256bit,blake2b_simd,4096,4096,bytes,23740450.0,ns,7872
256bit,blake2b_simd,4096,4096,bytes,24081617.0,ns,8200
256bit,blake2b_simd,4096,4096,bytes,25921105.0,ns,8528
256bit,blake2b_simd,4096,4096,bytes,27002048.0,ns,8856
256bit,blake2b_simd,4096,4096,bytes,27776774.0,ns,9184
256bit,blake2b_simd,4096,4096,bytes,28735752.0,ns,9512
256bit,blake2b_simd,4096,4096,bytes,29733487.0,ns,9840
256bit,blake2b_simd,4096,4096,bytes,30823455.0,ns,10168
256bit,blake2b_simd,4096,4096,bytes,31836791.0,ns,10496
256bit,blake2b_simd,4096,4096,bytes,32826989.0,ns,10824
256bit,blake2b_simd,4096,4096,bytes,33764177.0,ns,11152
256bit,blake2b_simd,4096,4096,bytes,34886279.0,ns,11480
256bit,blake2b_simd,4096,4096,bytes,36092019.0,ns,11808
256bit,blake2b_simd,4096,4096,bytes,37029840.0,ns,12136
256bit,blake2b_simd,4096,4096,bytes,38081127.0,ns,12464
256bit,blake2b_simd,4096,4096,bytes,38786549.0,ns,12792
256bit,blake2b_simd,4096,4096,bytes,39688383.0,ns,13120
256bit,blake2b_simd,4096,4096,bytes,40633001.0,ns,13448
256bit,blake2b_simd,4096,4096,bytes,41701440.0,ns,13776
256bit,blake2b_simd,4096,4096,bytes,42914907.0,ns,14104
256bit,blake2b_simd,4096,4096,bytes,44567736.0,ns,14432
256bit,blake2b_simd,4096,4096,bytes,45702865.0,ns,14760
256bit,blake2b_simd,4096,4096,bytes,46200930.0,ns,15088
256bit,blake2b_simd,4096,4096,bytes,47145700.0,ns,15416
256bit,blake2b_simd,4096,4096,bytes,47897994.0,ns,15744
256bit,blake2b_simd,4096,4096,bytes,48643815.0,ns,16072
256bit,blake2b_simd,4096,4096,bytes,49545384.0,ns,16400
256bit,blake2b_simd,4096,4096,bytes,50529249.0,ns,16728
256bit,blake2b_simd,4096,4096,bytes,51633709.0,ns,17056
256bit,blake2b_simd,4096,4096,bytes,52619931.0,ns,17384
256bit,blake2b_simd,4096,4096,bytes,53846782.0,ns,17712
256bit,blake2b_simd,4096,4096,bytes,54469678.0,ns,18040
256bit,blake2b_simd,4096,4096,bytes,55780531.0,ns,18368
256bit,blake2b_simd,4096,4096,bytes,56447923.0,ns,18696
256bit,blake2b_simd,4096,4096,bytes,57452850.0,ns,19024
256bit,blake2b_simd,4096,4096,bytes,59176754.0,ns,19352
256bit,blake2b_simd,4096,4096,bytes,61632056.0,ns,19680
256bit,blake2b_simd,4096,4096,bytes,61721946.0,ns,20008
256bit,blake2b_simd,4096,4096,bytes,64765415.0,ns,20336
256bit,blake2b_simd,4096,4096,bytes,63071665.0,ns,20664
256bit,blake2b_simd,4096,4096,bytes,64588045.0,ns,20992
256bit,blake2b_simd,4096,4096,bytes,65659878.0,ns,21320
256bit,blake2b_simd,4096,4096,bytes,66011675.0,ns,21648
256bit,blake2b_simd,4096,4096,bytes,67054964.0,ns,21976
256bit,blake2b_simd,4096,4096,bytes,67497946.0,ns,22304
256bit,blake2b_simd,4096,4096,bytes,68600989.0,ns,22632
256bit,blake2b_simd,4096,4096,bytes,69322896.0,ns,22960
256bit,blake2b_simd,4096,4096,bytes,70614792.0,ns,23288
256bit,blake2b_simd,4096,4096,bytes,71531421.0,ns,23616
256bit,blake2b_simd,4096,4096,bytes,73060452.0,ns,23944
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256bit,blake2b_simd,4096,4096,bytes,78741450.0,ns,25912
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256bit,blake2b_simd,4096,4096,bytes,81609070.0,ns,26896
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256bit,blake2b_simd,4096,4096,bytes,83160944.0,ns,27552
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256bit,blake2b_simd,4096,4096,bytes,85768928.0,ns,28208
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256bit,blake2b_simd,4096,4096,bytes,87283491.0,ns,28864
256bit,blake2b_simd,4096,4096,bytes,88040393.0,ns,29192
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256bit,blake2b_simd,4096,4096,bytes,91892190.0,ns,30176
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256bit,blake2b_simd,4096,4096,bytes,99429235.0,ns,32800
256bit,blake2b_simd,256,256,bytes,987003.0,ns,3289
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256bit,blake2b_simd,256,256,bytes,3962270.0,ns,13156
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256bit,blake2b_simd,256,256,bytes,6034614.0,ns,19734
256bit,blake2b_simd,256,256,bytes,7014055.0,ns,23023
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256bit,blake2b_simd,256,256,bytes,9054547.0,ns,29601
256bit,blake2b_simd,256,256,bytes,10013988.0,ns,32890
256bit,blake2b_simd,256,256,bytes,10990350.0,ns,36179
256bit,blake2b_simd,256,256,bytes,12048491.0,ns,39468
256bit,blake2b_simd,256,256,bytes,13038930.0,ns,42757
256bit,blake2b_simd,256,256,bytes,13954096.0,ns,46046
256bit,blake2b_simd,256,256,bytes,14656674.0,ns,49335
256bit,blake2b_simd,256,256,bytes,15207740.0,ns,52624
256bit,blake2b_simd,256,256,bytes,16607786.0,ns,55913
256bit,blake2b_simd,256,256,bytes,17659292.0,ns,59202
256bit,blake2b_simd,256,256,bytes,18597603.0,ns,62491
256bit,blake2b_simd,256,256,bytes,19604444.0,ns,65780
256bit,blake2b_simd,256,256,bytes,20558394.0,ns,69069
256bit,blake2b_simd,256,256,bytes,21557680.0,ns,72358
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256bit,blake2b_simd,256,256,bytes,24547744.0,ns,82225
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256bit,blake2b_simd,256,256,bytes,26514689.0,ns,88803
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256bit,blake2b_simd,256,256,bytes,30824685.0,ns,101959
256bit,blake2b_simd,256,256,bytes,31595184.0,ns,105248
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256bit,blake2b_simd,256,256,bytes,44494045.0,ns,148005
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256bit,blake2b_simd,256,256,bytes,69200563.0,ns,230230
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