blas - OpenGenus IQ: Learn Computer Science

BLAS vs BLIS

BLAS (Basic Linear Algebra Subprograms) and BLIS (BLAS Like Interface Software) are libraries that have revolutionized scientific computing by accelerating execution of mathematical operations on a vast range of platforms. In short, BLIS is the new generation alternative to BLAS

machine learning

MKL (Math Kernel Library), a Basic Linear Algebra Subprograms (BLAS) Library

Intel's Math Kernel Library (Intel MKL) is a Basic Linear Algebra Subprograms (BLAS) Library that optimizes code with minimal effort for future generations of Intel processors. We have presented how to download and use MKL using an example of matrix multiplication in MKL Library

machine learning

FLAME BLIS, a Basic Linear Algebra Subprograms Library

FLAME BLIS is an open source portable software framework/ Basic Linear Algebra Subprograms (BLAS) library for instantiating high-performance BLAS-like dense linear algebra libraries. We have presented how to install and use BLIS using an example of matrix multiplication in FLAME BLIS

machine learning

OpenBLAS, a Basic Linear Algebra Subprograms Library

OpenBLAS is an open source optimized BLAS (Basic Linear Algebra Subprograms) library based on GotoBLAS2 1.13 BSD version. We have presented how to install and use OpenBLAS with a matrix multiplication example in OpenBLAS

machine learning

Basic Linear Algebra Subprograms (BLAS) Library

The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. There are three levels within the BLAS library. The various implementations include Intel's MKL, BLIS, NetLib's BLAS, OpenBLAS, BLAS++ and others