Basic Linear Algebra Subprograms: Difference between revisions

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; [[BLIS (software)|BLIS]]: BLAS-like Library Instantiation Software framework for rapid instantiation. Optimized for most modern CPUs. 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|date=15 October 2021|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|archive-date=2017-07-08 |archive-url=https://web.archive.org/web/20170708151515/http://ampblas.codeplex.com/|url-status=dead}}</ref>

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

; NVBLAS: Optimized BLAS for NVIDIA Nvidia-based GPU cards, providing only Level 3 functions, but as direct drop-in replacement for other BLAS libraries.<ref>{{Cite news|url=https://docs.nvidia.com/cuda/nvblas/index.htmls|title=NVBLAS|date=2018-05-15|work=NVIDIA Developer|access-date=2018-05-15|language=en}}{{Dead link|date=September 2023 |bot=InternetArchiveBot |fix-attempted=yes }}</ref>

; clBLAS: An [[OpenCL]] implementation of BLAS by AMD. Part of the AMD Compute Libraries.<ref name="github.com">{{Citation|title=clBLAS: a software library containing BLAS functions written in OpenCL|date=2017-07-03|url=https://github.com/clMathLibraries/clBLAS|publisher=clMathLibraries|access-date=2017-07-07}}</ref>

; clBLAST: A tuned [[OpenCL]] implementation of most of the BLAS api.<ref name="https://github.com/CNugteren/CLBlast">{{Citation|last=Nugteren|first=Cedric|title=CLBlast: Tuned OpenCL BLAS|date=2017-07-05|url=https://github.com/CNugteren/CLBlast|access-date=2017-07-07}}</ref>

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; [[OpenBLAS]]: Optimized BLAS based on GotoBLAS, supporting [[x86]], [[x86-64]], [[MIPS architecture|MIPS]] and [[ARM architecture|ARM]] processors.<ref>{{Cite web|url=https://www.openblas.net/|title=OpenBLAS : An optimized BLAS library|website=www.openblas.net|access-date=2017-07-07}}</ref>

; PDLIB/SX: [[NEC Corporation|NEC]]'s Public Domain Mathematical Library for the NEC [[NEC SX architecture|SX-4]] system.<ref name=":0">{{cite web |url=http://www.nec.co.jp/hpc/mediator/sxm_e/software/61.html |title=PDLIB/SX: Business Solution &#124; NEC |access-date=2007-05-20 |url-status=dead |archive-url=https://web.archive.org/web/20070222154031/http://www.nec.co.jp/hpc/mediator/sxm_e/software/61.html |archive-date=2007-02-22 }}</ref>

; rocBLAS: Implementation that runs on [[AMD]] GPUs via [[ROCm]].<ref>{{Cite web|url=https://rocmdocs.amd.com/en/latest/ROCm_Tools/rocblas.html|title=rocBLAS|website=rocmdocs.amd.com|access-date=2021-05-21|archive-date=2021-05-22 |archive-url=https://web.archive.org/web/20210522003949/https://rocmdocs.amd.com/en/latest/ROCm_Tools/rocblas.html|url-status=dead}}</ref>

;SCSL

: [[Silicon Graphics|SGI]]'s Scientific Computing Software Library contains BLAS and LAPACK implementations for SGI's [[Irix]] workstations.<ref>{{cite web |url=http://www.sgi.com/products/software/scsl.html |title=SGI - SCSL Scientific Library: Home Page |access-date=2007-05-20 |url-status=dead |archive-url=https://web.archive.org/web/20070513173030/http://www.sgi.com/products/software/scsl.html |archive-date=2007-05-13 }}</ref>