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The emergence and continuing use of multi-core architectures and graphics processing units require changes in the existing software and sometimes even a redesign of the established algorithms in order to take advantage of now prevailing parallelism. Parallel Linear Algebra for Scalable Multi-core Architectures (PLASMA) and Matrix Algebra on GPU and Multics Architectures (MAGMA) are two projects that aims to achieve high performance and portability across a wide range of multi-core architectures and hybrid systems respectively. We present in this document a comparative study of PLASMA's performance against established linear algebra packages and some preliminary results of MAGMA on hybrid multi-core and GPU systems.
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Emmanuel Agullo
Institut national de recherche en sciences et technologies du numérique
Jim Demmel
International Computer Science Institute
Jack Dongarra
Ithaka Harbors
Journal of Physics Conference Series
University of California, Berkeley
University of Tennessee at Knoxville
U.S. National Science Foundation
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Agullo et al. (Wed,) studied this question.
synapsesocial.com/papers/6a110e36076612a7a71698d7 — DOI: https://doi.org/10.1088/1742-6596/180/1/012037
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