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

被引:248
作者
Agullo, Emmanuel [1 ]
Demmel, Jim [1 ]
Dongarra, Jack [1 ]
Hadri, Bilel [1 ]
Kurzak, Jakub [1 ]
Langou, Julien [1 ]
Ltaief, Hatem [1 ]
Luszczek, Piotr [1 ]
Tomov, Stanimire [1 ]
机构
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
来源
SCIDAC 2009: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING | 2009年 / 180卷
关键词
D O I
10.1088/1742-6596/180/1/012037
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:5
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