|Original author(s)||Kazushige Goto|
|Developer(s)||Zhang Xianyi, Wang Qian, Werner Saar|
|Initial release||22 March 2011|
0.3.17 / 15 July 2021
|Type||Linear algebra library; implementation of BLAS|
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 and Loongson. It claims to achieve performance comparable to the Intel MKL: this mostly holds true on the BLAS part, while the LAPACK part falls behind.
- Automatically Tuned Linear Algebra Software (ATLAS)
- BLIS (BLAS-like Library Instantiation Software)
- Intel Math Kernel Library (MKL)
- Releases · xianyi/OpenBLAS - GitHub
- 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).