sve

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, WebAssembly, VSX, RISC-V))

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon

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

Open Source Architecture Code Analyzer

🚀 Fast C/C++ bit population count library

Agenium Scale vectorization library for CPUs and GPUs

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

Hands-on course materials for deploying and optimizing generative AI on Arm processors: Raspberry Pi, AWS Graviton, SIMD, quantization (educational)

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