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ashvardanian / SimSIMD

Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
https://ashvardanian.com/posts/simsimd-faster-scipy/
Apache License 2.0
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Complex Dot-Products and Geo-Spatial Analysis #98

Closed ashvardanian closed 3 months ago

ashvardanian commented 3 months ago

This is a packed redesign! Let's start with what's cool about it and later cover the mechanics.

  1. Extends dot products covering the entire matrix:
    • all IEEE 754 floating-point formats (f16, f32, f64)
    • real, complex, complex-conjugate dot-products
    • Arm NEON & SVE, x86 Haswell, Skylake, Ice Lake, Sapphire Rapids
      1. Add support for complex32 Python type ... that:

SimSIMD is now the fastest and most popular library for computing half-precision products/similarities for Fourier Series and other complex data 🥳

ashvardanian commented 3 months ago

:tada: This PR is included in version 4.0.0 :tada:

The release is available on GitHub release

Your semantic-release bot :package::rocket: