Applying parallel direct solver techniques to build robust high performance preconditioners

Pascal Hénon, François Pellegrini, Pierre Ramet, Jean Roman, Yousef Saad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of our work is to provide a method which exploits the parallel blockwise algorithmic approach used in the framework of high performance sparse direct solvers in order to develop robust preconditioned based on a parallel incomplete factorization. The idea is then to define an adaptive blockwise incomplete factorization that is much more accurate (and numerically mure robust) than the scalar incomplete factorizations commonly used to precondition iterative solvers.

Original languageEnglish (US)
Title of host publicationApplied Parallel Computing - State of the Art in Scientific Computing - 7th International Conference, PARA 2004, Revised Selected Papers
PublisherSpringer Verlag
Pages611-619
Number of pages9
ISBN (Print)3540290672, 9783540290674
DOIs
StatePublished - 2006
Event7th International Conference on Applied Parallel Computing, PARA 2004 - Lyngby, Denmark
Duration: Jun 20 2004Jun 23 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3732 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Applied Parallel Computing, PARA 2004
CountryDenmark
CityLyngby
Period6/20/046/23/04

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