Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects
Department of Electrical Engineering and Computer Science, University of Tennessee, USA
Journal of Physics: Conference Series, Vol. 180, No. 1. (01 July 2009), 012037
@conference{agullo2009numerical,
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},
volume={180},
pages={012037},
year={2009},
organization={IOP Publishing}
}
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.
November 27, 2010 by hgpu
