| Original author(s) | Kazushige Goto |
|---|---|
| Developer(s) | Zhang Xianyi, Wang Qian, Werner Saar |
| Initial release | 22 March 2011 |
| Stable release | 0.3.28[1]
/ 8 August 2024 |
| Repository | |
| Written in | C, modern Fortran |
| Operating system | |
| Platform | |
| Type | Linear algebra library; implementation of BLAS |
| License | BSD License |
| Website | www |
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. On machines that support the AVX2 instruction set, OpenBLAS can achieve similar performance to MKL, but there are currently almost no open source libraries comparable to MKL on CPUs with the AVX512 instruction set.
OpenBLAS is a fork of GotoBLAS2, which was created by Kazushige Goto at the Texas Advanced Computing Center.
- ^ "OpenBLAS 0.3.28 version". 8 August 2024. Retrieved 10 August 2024.
- ^ "OpenBLAS". GitHub. 25 October 2021.
- ^ 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).