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Citation bot (talk | contribs) Alter: bibcode. Add: s2cid, bibcode. | Use this bot. Report bugs. | Suggested by Abductive | #UCB_webform 3390/3850 |
Add links for NVIDIA and AMD |
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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]] 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>
; NVBLAS: Optimized BLAS for [[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}}</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>
; Eigen BLAS: A [[Fortran|Fortran 77]] and [[C (programming language)|C]] BLAS library implemented on top of the [[Mozilla license|MPL]]-licensed [[Eigen (C++ library)|Eigen library]], supporting [[x86]], [[x86-64]], [[ARM architecture family|ARM (NEON)]], and [[PowerPC]] architectures.
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