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Title: GitHub - zeroae/SimSIMD: Up to 200x Faster Dot Products & Similarity Metrics β€” for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 πŸ“ Β· GitHub

Open Graph Title: GitHub - zeroae/SimSIMD: Up to 200x Faster Dot Products & Similarity Metrics β€” for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 πŸ“

X Title: GitHub - zeroae/SimSIMD: Up to 200x Faster Dot Products & Similarity Metrics β€” for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 πŸ“

Description: Up to 200x Faster Dot Products & Similarity Metrics β€” for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 πŸ“ - zeroae/SimSIMD

Open Graph Description: Up to 200x Faster Dot Products & Similarity Metrics β€” for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEO...

X Description: Up to 200x Faster Dot Products & Similarity Metrics β€” for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-...

Opengraph URL: https://github.com/zeroae/SimSIMD

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https://github.com/ashvardanian/ashvardanian/blob/master/repositories/SimSIMD.jpg?raw=true
most libraries can be 3-200x slower than hardware potentialhttps://ashvardanian.com/posts/simsimd-faster-scipy
ships more binaries than NumPyhttps://pypi.org/project/simsimd/#files
https://pepy.tech/project/simsimd
https://www.npmjs.com/package/simsimd
https://crates.io/crates/simsimd
https://camo.githubusercontent.com/f0b0939f7109e21f9cdd2f2145928b3088d7bfdb4fd4528f8c6eaeff1cd77a69/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c616e6775616765732f636f64652d73697a652f61736876617264616e69616e2f73696d73696d64
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https://github.com/ashvardanian/SimSIMD/actions/workflows/release.yml
https://github.com/ashvardanian/SimSIMD/actions/workflows/release.yml
https://github.com/zeroae/SimSIMD#features
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docshttps://github.com/zeroae/SimSIMD#complex-dot-products-conjugate-dot-products-and-complex-numbers
docshttps://github.com/ashvardanian/SimSIMD/pull/138
docshttps://github.com/zeroae/SimSIMD#set-intersection-galloping-and-binary-search
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StringZillahttps://github.com/ashvardanian/stringzilla
header-only C 99https://github.com/zeroae/SimSIMD#using-simsimd-in-c
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JShttps://github.com/zeroae/SimSIMD#using-simsimd-in-javascript
Swifthttps://github.com/zeroae/SimSIMD#using-simsimd-in-swift
Uses Horner's method for polynomial approximations, beating GCC 12 by 119xhttps://ashvardanian.com/posts/gcc-12-vs-avx512fp16/
Uses Arm SVE and x86 AVX-512's masked loads to eliminate tail for-loopshttps://ashvardanian.com/posts/simsimd-faster-scipy/#tails-of-the-past-the-significance-of-masked-loads
Substitutes libc's sqrt with Newton Raphson iterationshttps://github.com/ashvardanian/SimSIMD/releases/tag/v5.4.0
Uses Galloping and SVE2 histograms to intersect sparse vectorshttps://ashvardanian.com/posts/simd-set-intersections-sve2-avx512/
avoids slow PyBind11, SWIG, & PyArg_ParseTuplehttps://ashvardanian.com/posts/pybind11-cpython-tutorial/
using faster calling conventionhttps://ashvardanian.com/posts/discount-on-keyword-arguments-in-python/
uses typed arrays and NAPI for zero-copy callshttps://ashvardanian.com/posts/javascript-ai-vector-search/
https://github.com/zeroae/SimSIMD#benchmarks
Apple M2 Prohttps://ashvardanian.com/posts/simsimd-faster-scipy/#appendix-1-performance-on-apple-m2-pro
Intel Sapphire Rapidshttps://ashvardanian.com/posts/simsimd-faster-scipy/#appendix-2-performance-on-4th-gen-intel-xeon-platinum-8480
AWS Graviton 3https://ashvardanian.com/posts/simsimd-faster-scipy/#appendix-3-performance-on-aws-graviton-3
https://github.com/zeroae/SimSIMD#using-simsimd-in-python
https://github.com/zeroae/SimSIMD#installation
python/annotations/__init__.pyihttps://github.com/ashvardanian/SimSIMD/blob/main/python/annotations/__init__.pyi
https://github.com/zeroae/SimSIMD#one-to-one-distance
https://github.com/zeroae/SimSIMD#one-to-many-distances
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https://github.com/zeroae/SimSIMD#element-wise-kernels
Phong shading modelhttps://en.wikipedia.org/wiki/Phong_shading
https://github.com/zeroae/SimSIMD#multithreading-and-memory-usage
https://github.com/zeroae/SimSIMD#half-precision-brain-float-numbers
Unlike NumPyhttps://github.com/numpy/numpy/issues/19808
https://github.com/zeroae/SimSIMD#helper-functions
Intel Ice Lakehttps://travisdowns.github.io/blog/2020/08/19/icl-avx512-freq.html
https://github.com/zeroae/SimSIMD#using-python-api-with-usearch
USearchhttps://github.com/unum-cloud/usearch
https://github.com/zeroae/SimSIMD#using-simsimd-in-rust
https://github.com/zeroae/SimSIMD#spatial-similarity-cosine-and-euclidean-distances
https://github.com/zeroae/SimSIMD#dot-products-inner-and-complex-inner-products
https://github.com/zeroae/SimSIMD#probability-distributions-jensen-shannon-and-kullback-leibler-divergences
https://github.com/zeroae/SimSIMD#binary-similarity-hamming-and-jaccard-distances
https://github.com/zeroae/SimSIMD#half-precision-floating-point-numbers
https://github.com/zeroae/SimSIMD#half-precision-brain-float-numbers-1
Unlike NumPyhttps://github.com/numpy/numpy/issues/19808
https://github.com/zeroae/SimSIMD#dynamic-dispatch-in-rust
dynamic dispatchhttps://github.com/zeroae/SimSIMD#dynamic-dispatch
https://github.com/zeroae/SimSIMD#using-simsimd-in-javascript
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https://github.com/zeroae/SimSIMD#using-simsimd-in-c
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https://github.com/zeroae/SimSIMD#spatial-distances-cosine-and-euclidean-distances
https://github.com/zeroae/SimSIMD#dot-products-inner-and-complex-inner-products-1
https://github.com/zeroae/SimSIMD#binary-distances-hamming-and-jaccard-distances
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https://github.com/zeroae/SimSIMD#half-precision-floating-point-numbers-1
https://github.com/zeroae/SimSIMD#compilation-settings-and-debugging
https://github.com/zeroae/SimSIMD#algorithms--design-decisions-
https://github.com/zeroae/SimSIMD#cosine-similarity-reciprocal-square-root-and-newton-raphson-iteration
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https://github.com/zeroae/SimSIMD#set-intersection-galloping-and-binary-search
https://github.com/zeroae/SimSIMD#complex-dot-products-conjugate-dot-products-and-complex-numbers
https://github.com/zeroae/SimSIMD#logarithms-in-kullback-leibler--jensenshannon-divergences
https://github.com/zeroae/SimSIMD#mixed-precision-in-fused-multiply-add-and-weighted-sums
https://github.com/zeroae/SimSIMD#auto-vectorization--loop-unrolling
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Knights Landinghttps://en.wikipedia.org/wiki/Xeon_Phi#Knights_Landing
Knights Millhttps://en.wikipedia.org/wiki/Xeon_Phi#Knights_Mill
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Cannon Lakehttps://en.wikipedia.org/wiki/Cannon_Lake_(microarchitecture)
Cascade Lakehttps://en.wikipedia.org/wiki/Cascade_Lake_(microarchitecture)
Cooper Lakehttps://en.wikipedia.org/wiki/Cooper_Lake_(microarchitecture)
Ice Lakehttps://en.wikipedia.org/wiki/Ice_Lake_(microarchitecture)
Tiger Lakehttps://en.wikipedia.org/wiki/Tiger_Lake_(microarchitecture)
Rocket Lakehttps://en.wikipedia.org/wiki/Rocket_Lake
Alder Lakehttps://en.wikipedia.org/wiki/Alder_Lake
Zen 4https://en.wikipedia.org/wiki/Zen_4
Sapphire Rapidshttps://en.wikipedia.org/wiki/Sapphire_Rapids_(microprocessor)
Zen 5https://en.wikipedia.org/wiki/Zen_5
https://github.com/zeroae/SimSIMD#target-specific-backends
https://github.com/zeroae/SimSIMD#license
ashvardanian.com/posts/simsimd-faster-scipy/https://ashvardanian.com/posts/simsimd-faster-scipy/
Readme https://github.com/zeroae/SimSIMD#readme-ov-file
Apache-2.0 license https://github.com/zeroae/SimSIMD#Apache-2.0-1-ov-file
Code of conduct https://github.com/zeroae/SimSIMD#coc-ov-file
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