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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

291 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number012037
JournalJournal of Physics: Conference Series
Volume180
Issue number1
DOIs
StatePublished - Jan 1 2009

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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