matrix-multiplication

A collection of algorithms and data structures

BLAS-like Library Instantiation Software Framework

High-efficiency floating-point neural network inference operators for mobile, server, and Web

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

Acceleration package for neural networks on multi-core CPUs

Tuned OpenCL BLAS

Fast Clojure Matrix Library

Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.

Library for specialized dense and sparse matrix operations, and deep learning primitives.

BLISlab: A Sandbox for Optimizing GEMM

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

Multi-Threaded FP32 Matrix Multiplication on x86 CPUs

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

A library and extension that provides objects for scientific computing in PHP.

[DEPRECATED] Moved to ROCm/rocm-libraries repo

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm

Accelerated General (FP32) Matrix Multiplication from scratch in CUDA

Sparse matrix formats for linear algebra supporting scientific and machine learning applications