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<section class="section">
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<h1>Benchmarks</h1>
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<p style="font-size:20px">
Below are results from <a href="https://github.com/exaloop/codon/tree/develop/bench" target="_blank">Codon's benchmark suite</a>,
which compares Python, PyPy, C++ and Codon on a range of tasks and applications. Benchmarks are run on the following setups:
<div class="accordion accordion-light" id="accordion-1">
<div class="card">
<h5 class="card-title">
<a class="collapsed" data-toggle="collapse" href="#collapse-1-1">Apple M1 Max <i class="fab fa-apple"></i></a>
</h5>
<div id="collapse-1-1" class="collapse" data-parent="#accordion-1">
<div class="card-body">
<ul>
<li>2021 16-inch MacBook Pro, Apple M1 Max, 64GB RAM, macOS Monterey 12.5.1</li>
<li>Python: 3.10.8</li>
<li>PyPy: 7.3.9 nightly build 2022-11-02, 106335-024a5669d75d</li>
<li>Clang: Apple clang version 13.1.6</li>
<li>Codon: 0.15.0, commit <code>5480050b0ae3fb39b30e3a71df260ce5e91e5064</code></li>
</ul>
</div>
</div>
</div>
<div class="card">
<h5 class="card-title">
<a class="collapsed" data-toggle="collapse" href="#collapse-1-2">Intel® Xeon® Gold <i class="fab fa-linux"></i></a>
</h5>
<div id="collapse-1-2" class="collapse" data-parent="#accordion-1">
<div class="card-body">
<ul>
<li>CentOS Linux 7 (Core), 64 cores, Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz, 754 GB RAM</li>
<li>GPU: NVIDIA(R) Tesla V100</li>
<li>Python: 3.8.2</li>
<li>PyPy: 7.3.9</li>
<li>Clang: 13.0.1</li>
<li>Codon: 0.15.0, commit <code>5480050b0ae3fb39b30e3a71df260ce5e91e5064</code></li>
</ul>
</div>
</div>
</div>
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</p>
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</div>
<br />
<div class="container">
<ul class="nav nav-tabs-outline">
<li class="nav-item">
<a class="nav-link active" data-toggle="tab" href="#results-speedups">Speedups</a>
</li>
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<a class="nav-link" data-toggle="tab" href="#results-runtimes">Runtimes</a>
</li>
</ul>
<br />
<div class="tab-content text-left" data-aos="fade-in">
<div class="tab-pane fade show active" id="results-speedups">
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<h3>Benchmark: <code>float</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#float" target="_blank"><code>pyperformance</code>'s <code>float</code>
benchmark</a> — performs a series of 3-dimensional vector operations and normalizations.
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/float'">
<i class="fab fa-github"></i> See Code
</button>
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</div>
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<canvas id="bm-schart-float"></canvas>
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<h3>Benchmark: <code>go</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#go" target="_blank"><code>pyperformance</code>'s <code>go</code>
benchmark</a> — simulates and optimizes a game of <a href="https://en.wikipedia.org/wiki/Go_(game)" target="_blank">Go</a>.
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/go'">
<i class="fab fa-github"></i> See Code
</button>
</div>
</div>
<div class="chart-container">
<canvas id="bm-schart-go"></canvas>
</div>
</div>
<div class="chart-pane">
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<h3>Benchmark: <code>nbody</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#nbody" target="_blank"><code>pyperformance</code>'s <code>nbody</code>
benchmark</a> — simulates the movement of several celestial objects.
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/nbody'">
<i class="fab fa-github"></i> See Code
</button>
</div>
</div>
<div class="chart-container">
<canvas id="bm-schart-nbody"></canvas>
</div>
</div>
<div class="chart-pane">
<div class="chart-info">
<h3>Benchmark: <code>chaos</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#chaos" target="_blank"><code>pyperformance</code>'s <code>chaos</code>
benchmark</a> — generates <a href="https://en.wikipedia.org/wiki/Chaos_game" target="_blank">chaos game</a>-like fractals.
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/chaos'">
<i class="fab fa-github"></i> See Code
</button>
</div>
</div>
<div class="chart-container">
<canvas id="bm-schart-chaos"></canvas>
</div>
</div>
<div class="chart-pane">
<div class="chart-info">
<h3>Benchmark: <code>spectral_norm</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#spectral-norm" target="_blank"><code>pyperformance</code>'s <code>spectral_norm</code>
benchmark</a> — computes the largest singular value of a particular infinite matrix.
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/spectral_norm'">
<i class="fab fa-github"></i> See Code
</button>
</div>
</div>
<div class="chart-container">
<canvas id="bm-schart-spectral-norm"></canvas>
</div>
</div>
<div class="chart-pane">
<div class="chart-info">
<h3>Benchmark: <code>set_partition</code></h3>
Computes all partitions of a set that fit certain conditions.
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/set_partition'">
<i class="fab fa-github"></i> See Code
</button>
</div>
</div>
<div class="chart-container">
<canvas id="bm-schart-set-partition"></canvas>
</div>
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<h3>Benchmark: <code>primes</code></h3>
Counts prime numbers below a given threshold. <b>Codon version is multi-threaded.</b>
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/primes'">
<i class="fab fa-github"></i> See Code
</button>
</div>
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<div class="chart-container">
<canvas id="bm-schart-primes"></canvas>
</div>
</div>
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<h3>Benchmark: <code>binary_trees</code></h3>
<a href="https://hboehm.info/gc/gc_bench.html" target="_blank">Hans Boehm's binary-trees benchmark</a> —
creates and traverses a number of binary trees.
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/binary_trees'">
<i class="fab fa-github"></i> See Code
</button>
</div>
</div>
<div class="chart-container">
<canvas id="bm-schart-binary-trees"></canvas>
</div>
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<h3>Benchmark: <code>fannkuch</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#fannkuch" target="_blank"><code>pyperformance</code>'s <code>fannkuch</code>
benchmark</a> — performs, for each permutation of a list, a number of element reversals until a certain condition is
met, and computes the maximum number of reversals needed across all permutations. <b>Codon version is multi-threaded.</b>
<br />
<div class="sourcebutton">
<button class="gotosource" onclick="location.href='https://github.com/exaloop/codon/tree/develop/bench/fannkuch'">
<i class="fab fa-github"></i> See Code
</button>
</div>
</div>
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<canvas id="bm-schart-fannkuch"></canvas>
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<h3>Benchmark: <code>word_count</code></h3>
Counts occurrences of words in a file using a dictionary.
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<h3>Benchmark: <code>taq</code></h3>
Performs volume peak detection on an <a href="https://www.nyse.com/market-data/historical/daily-taq" target="_blank">NYSE TAQ</a>.
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<h3>Benchmark: <code>mandelbrot</code></h3>
Computes the <a href="https://en.wikipedia.org/wiki/Mandelbrot_set" target="_blank">Mandelbrot set.</a>
<b>Codon version is GPU-accelerated.</b>
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<h3>Benchmark: <code>float</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#float" target="_blank"><code>pyperformance</code>'s <code>float</code>
benchmark</a> — performs a series of 3-dimensional vector operations and normalizations.
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<h3>Benchmark: <code>go</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#go" target="_blank"><code>pyperformance</code>'s <code>go</code>
benchmark</a> — simulates and optimizes a game of <a href="https://en.wikipedia.org/wiki/Go_(game)" target="_blank">Go</a>.
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<h3>Benchmark: <code>nbody</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#nbody" target="_blank"><code>pyperformance</code>'s <code>nbody</code>
benchmark</a> — simulates the movement of several celestial objects.
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<h3>Benchmark: <code>chaos</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#chaos" target="_blank"><code>pyperformance</code>'s <code>chaos</code>
benchmark</a> — generates <a href="https://en.wikipedia.org/wiki/Chaos_game" target="_blank">chaos game</a>-like fractals.
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<h3>Benchmark: <code>spectral_norm</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#spectral-norm" target="_blank"><code>pyperformance</code>'s <code>spectral_norm</code>
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Computes all partitions of a set that fit certain conditions.
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<h3>Benchmark: <code>primes</code></h3>
Counts prime numbers below a given threshold. <b>Codon version is multi-threaded.</b>
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<h3>Benchmark: <code>binary_trees</code></h3>
<a href="https://hboehm.info/gc/gc_bench.html" target="_blank">Hans Boehm's binary-trees benchmark</a> —
creates and traverses a number of binary trees.
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<h3>Benchmark: <code>fannkuch</code></h3>
<a href="https://pyperformance.readthedocs.io/benchmarks.html#fannkuch" target="_blank"><code>pyperformance</code>'s <code>fannkuch</code>
benchmark</a> — performs, for each permutation of a list, a number of element reversals until a certain condition is
met, and computes the maximum number of reversals needed across all permutations. <b>Codon version is multi-threaded.</b>
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<h3>Benchmark: <code>word_count</code></h3>
Counts occurrences of words in a file using a dictionary.
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<h3>Benchmark: <code>taq</code></h3>
Performs volume peak detection on an <a href="https://www.nyse.com/market-data/historical/daily-taq" target="_blank">NYSE TAQ</a>.
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<h3>Benchmark: <code>mandelbrot</code></h3>
Computes the <a href="https://en.wikipedia.org/wiki/Mandelbrot_set" target="_blank">Mandelbrot set.</a>
<b>Codon version is GPU-accelerated.</b>
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