Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects

Emmanuel Agullo, Jim Demmel, Jack Dongarra, Bilel Hadri, Jakub Kurzak, Julien Langou, Hatem Ltaief, Piotr Luszczek, Stanimire Tomov
Department of Electrical Engineering and Computer Science, University of Tennessee, USA
Journal of Physics: Conference Series, Vol. 180, No. 1. (01 July 2009), 012037


   title={Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects},

   author={Agullo, E. and Demmel, J. and Dongarra, J. and Hadri, B. and Kurzak, J. and Langou, J. and Ltaief, H. and Luszczek, P. and Tomov, S.},

   booktitle={Journal of Physics: Conference Series},




   organization={IOP Publishing}


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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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