OpenBLAS
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| Original author(s) | Kazushige Goto |
|---|---|
| Developer(s) | Zhang Xianyi, Wang Qian, Werner Saar |
| Initial release | March 22, 2011 |
| Stable release | 0.3.5
/ December 31, 2018[1] |
| Repository |  |
| Operating system | Linux Microsoft Windows macOS FreeBSD |
| Platform | x86 x86-64 MIPS ARM ARM64 POWER[2] IBM z SPARC |
| Type | Linear algebra library; implementation of BLAS |
| License | BSD License |
| Website | www |
In scientific computing, OpenBLAS is an open source implementation of the BLAS (Basic Linear Algebra Subprograms) API 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.
OpenBLAS is a fork of GotoBLAS2, which was created by Kazushige Goto at the Texas Advanced Computing Center.
See also[edit]
References[edit]
- ^ Releases · xianyi/OpenBLAS - GitHub
- ^ "xianyi/OpenBLAS". GitHub. Retrieved 2018-04-03.
- ^ 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).
