Basic Linear Algebra Subprograms - Implementations

Implementations

Accelerate

Apple's framework for Mac OS X and iOS, which includes tuned versions of BLAS and LAPACK.

ACML

The AMD Core Math Library, supporting the AMD Athlon and Opteron CPUs under Linux and Windows.

C++ AMP BLAS

The C++ AMP BLAS Library is an open source implementation of BLAS for Microsoft's AMP language extension for Visual C++.

ATLAS

Automatically Tuned Linear Algebra Software, an open source implementation of BLAS APIs for C and Fortran 77.

ESSL

IBM's Engineering and Scientific Subroutine Library, supporting the PowerPC architecture under AIX and Linux.

Eigen BLAS

A Fortran 77 and C BLAS library implemented on top of the open source Eigen library, supporting x86, x86 64, ARM (NEON), and PowerPC architectures. (Note: as of Eigen 3.0.3, the BLAS interface is not built by default and the documentation refers to it as "a work in progress which is far to be ready for use".)

Goto BLAS

Kazushige Goto's BSD-licensed implementation of BLAS, tuned in particular for Intel Nehalem/Atom, VIA Nanoprocessor, AMD Opteron.

HP MLIB

HP's Math library supporting IA-64, PA-RISC, x86 and Opteron architecture under HPUX and Linux.

Intel MKL

The Intel Math Kernel Library, supporting the old Intel Pentium (although there are some doubts about future support to the Pentium architecture), Core and Itanium CPUs under Linux, Windows and Mac OS X.

MathKeisan

NEC's math library, supporting NEC SX architecture under SUPER-UX, and Itanium under Linux

Netlib BLAS

The official reference implementation on Netlib, written in Fortran 77.

Netlib CBLAS

Reference C interface to the BLAS. It is also possible (and popular) to call the Fortran BLAS from C.

PDLIB/SX

NEC's Public Domain Mathematical Library for the NEC SX-4 system.

SCSL

SGI's Scientific Computing Software Library contains BLAS and LAPACK implementations for SGI's Irix workstations.

Sun Performance Library

Optimized BLAS and LAPACK for SPARC, Core and AMD64 architectures under Solaris 8, 9, and 10 as well as Linux.

SurviveGotoBLAS2

Optimized BLAS that is an attempt to continue the work of Kazushige Goto by Ei-ji Nakama.

OpenBLAS

Optimized BLAS based on Goto BLAS hosted at GitHub, supporting Intel Sandy Bridge and MIPS_architecture Loongson processors.

cuBLAS

Optimized BLAS for NVIDIA based GPU cards.