In scientific computing, OpenBLAS is an open-source implementation of the BLAS (Basic Linear Algebra Subprograms) and LAPACK APIs with many hand-crafted optimizations for specific processor types. It is developed at the Lab of Parallel Software and Computational Science, ISCAS.
OpenBLAS adds optimized implementations of linear algebra kernels for several processor architectures, including Intel Sandy Bridge[3] and Loongson.[4] It claims to achieve performance comparable to the Intel MKL: this mostly holds true on the BLAS part, while the LAPACK part falls behind.
OpenBLAS is a fork of GotoBLAS2, which was created by Kazushige Goto at the Texas Advanced Computing Center.
See also
Automatically Tuned Linear Algebra Software (ATLAS)
BLIS (BLAS-like Library Instantiation Software)
Intel Math Kernel Library (MKL)
References
Releases · xianyi/OpenBLAS - GitHub
"xianyi/OpenBLAS". GitHub. Retrieved 2020-02-09.
Wang Qian; Zhang Xianyi; Zhang Yunquan; Qing Yi (2013). AUGEM: Automatically Generate High Performance Dense Linear Algebra Kernels on x86 CPUs (PDF). Int'l Conf. on High Performance Computing, Networking, Storage and Analysis.
Zhang Xianyi; Wang Qian; Zhang Yunquan (2012). Model-driven Level 3 BLAS Performance Optimization on Loongson 3A Processor. IEEE 18th Int'l Conf. on Parallel and Distributed Systems (ICPADS).
External links
Official website Edit this at Wikidata
Undergraduate Texts in Mathematics
Graduate Studies in Mathematics
Hellenica World - Scientific Library
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