Basic Linear Algebra Subprograms: Difference between revisions

Revision as of 00:39, 22 May 2021

Revision as of 00:42, 22 May 2021

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; Arm Performance Libraries: [[Arm Performance Libraries]], supporting Arm 64-bit [[AArch64]]-based processors, available from [[Arm Ltd.|Arm]].<ref name="Arm Performance Libraries"/>

; ATLAS: [[Automatically Tuned Linear Algebra Software]], an [[Open-source software|open source]] implementation of BLAS [[application programming interface|API]]s for [[C (programming language)|C]] and [[Fortran|Fortran 77]].<ref>{{Cite web|url=http://math-atlas.sourceforge.net/|title=Automatically Tuned Linear Algebra Software (ATLAS)|website=math-atlas.sourceforge.net|access-date=2017-07-07}}</ref>

; [[BLIS (software)|BLIS]]: BLAS-like Library Instantiation Software framework for rapid instantiation. Optimized for most modern CPUSCPUs. BLIS is a complete refactoring of the GotoBLAS that reduces the amount of code that must be written for a given platform. <ref>{{Citation|title=blis: BLAS-like Library Instantiation Software Framework|date=2017-06-30|url=https://github.com/flame/blis|publisher=flame|access-date=2017-07-07}}</ref><ref>{{Citation|title=BLIS GitHub Repository|url=https://github.com/flame/blis}}</ref>

; C++ AMP BLAS: The [[C++ AMP]] BLAS Library is an [[Open-source software|open source]] implementation of BLAS for Microsoft's AMP language extension for Visual C++.<ref>{{Cite web|url=http://ampblas.codeplex.com/|title=C++ AMP BLAS Library|website=CodePlex|language=en|access-date=2017-07-07}}</ref>

; cuBLAS: Optimized BLAS for NVIDIA based GPU cards, requiring few additional library calls.<ref>{{Cite news|url=http://developer.nvidia.com/cublas|title=cuBLAS|date=2013-07-29|work=NVIDIA Developer|access-date=2017-07-07|language=en}}</ref>