Hsdlib – A C Library for Vector Similarity with SIMD Acceleration

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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