💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
-
Updated
May 28, 2024 - C
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
Tuned OpenCL BLAS
hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library
Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
A software library containing BLAS functions written in OpenGL fragment shaders
Light weight scientific computing without any extra dependencies
Fortran Standard Library
Safe and Performant Scientific Computing Library
oneAPI Math Kernel Library (oneMKL) Interfaces
DBCSR: Distributed Block Compressed Sparse Row matrix library
oj! Algorithms
BLAS-like Library Instantiation Software Framework
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
Block Linear Algebra Algorithms in Matlab
Add a description, image, and links to the blas topic page so that developers can more easily learn about it.
To associate your repository with the blas topic, visit your repo's landing page and select "manage topics."