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Dev tools · May 19, 2025

HA

Hsdlib – A C Library for Vector Similarity with SIMD Acceleration

Hsdlib is a small C library for fast vector distance and similarity calculations. At the moment, it supports: - Euclidean, Manhattan, and Hamming distances - Dot product, cosine, and Jaccard similarities Hsdlib uses SIMD acceleration (AVX, AVX2, AVX512, NEON, and SVE instructions) to speed things up. GitHub link: https://github.com/habedi/hsdlib

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In plain words

Hsdlib is a C library for calculating vector distances and similarities with SIMD acceleration. It computes Euclidean, Manhattan, and Hamming distances, along with dot product, cosine, and Jaccard similarities. The library uses SIMD instructions including AVX, AVX2, AVX512, NEON, and SVE to optimize performance. It is designed for developers who need fast vector computations in performance-critical applications.

written from the facts on this page · September 2026

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