There are 2 repositories under sve topic.
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))
Agenium Scale vectorization library for CPUs and GPUs
SIMD macro assembler unified for ARM, MIPS, PPC and x86
Realtime raytracer using SIMD on ARM, MIPS, PPC and x86
Updating secrets simplified!
x86-64, ARM, and RVV intrinsics viewer
🎹 Unified implementation of SIMD intrinsic functions and fallback implementations on hardware that does not natively support them, as an extension to Swift Numeric types.
Performance comparison between small hand-written SVE kernels and compiler-generated ones.
Measure accelerate BLAS performance
Integrated Python Repl/IDE made using PyScript.
TMA Band True (Contrarian) Strategy
Strategy based on SVE Bollinger Bands indicator
Advent of Code in Go. First make it work, then right, then fast, then simple. Going for all puzzles < 1s.