The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))

Portable wrapper for SIMD and vector instructions written in C++11. Compatible with NEON, SSE, AVX, AVX-512 and SVE (length specific).

🚀 Fast C/C++ bit population count library

Agenium Scale vectorization library for CPUs and GPUs

Open Source Architecture Code Analyzer

A header only library implementing common mathematical functions using SIMD intrinsics

Thrust, CUB, TBB, AVX2, AVX-512, CUDA, OpenCL, OpenMP, Metal, and Rust - all it takes to sum a lot of numbers fast!

SIMD macro assembler unified for ARM, MIPS, PPC and x86

x86-64, ARM, and RVV intrinsics viewer

Single Header Quite Fast QOI(Quite OK Image Format) Implementation written in C++20

Realtime raytracer using SIMD on ARM, MIPS, PPC and x86

Updating secrets simplified!

Performance comparison between small hand-written SVE kernels and compiler-generated ones.

🎹 Unified implementation of SIMD intrinsic functions and fallback implementations on hardware that does not natively support them, as an extension to Swift Numeric types.

Measure accelerate BLAS performance

Integrated Python Repl/IDE made using PyScript.

Package implementing NumPy's UFuncs based on SLEEF