A collection of algorithms and data structures
-
Updated
Dec 23, 2024 - Java
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
Acceleration package for neural networks on multi-core CPUs
Fast Clojure Matrix Library
Tuned OpenCL BLAS
BLISlab: A Sandbox for Optimizing GEMM
High-Performance FP32 Matrix Multiplication on CPU
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.
Stretching GPU performance for GEMMs and tensor contractions.
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
DBCSR: Distributed Block Compressed Sparse Row matrix library
[Experimental] LLVM-accelerated Generic Linear Algebra Subprograms
Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
Add a description, image, and links to the matrix-multiplication topic page so that developers can more easily learn about it.
To associate your repository with the matrix-multiplication topic, visit your repo's landing page and select "manage topics."