Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors

Abstract

Dense linear algebra libraries, such as BLAS and LAPACK, provide a relevant collection of numerical tools for many scientific and engineering applications. While there exist high performance implementations of the BLAS (and LAPACK) functionality for many current multi-threaded architectures, the adaption of these libraries for asymmetric multicore… (More)

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Cite this paper

@article{Cataln2015MultiThreadedDL, title={Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors}, author={Sandra Catal{\'a}n and Jos{\'e} R. Herrero and Francisco D. Igual and Rafael Rodr{\'i}guez-S{\'a}nchez and Enrique S. Quintana-Ort{\'i}}, journal={CoRR}, year={2015}, volume={abs/1511.02171} }