Reducing the amount of pivoting in symmetric indefinite systems

Dulceneia Becker, Marc Baboulin, Jack Dongarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

This paper illustrates how the communication due to pivoting in the solution of symmetric indefinite linear systems can be reduced by considering innovative approaches that are different from pivoting strategies implemented in current linear algebra libraries. First a tiled algorithm where pivoting is performed within a tile is described and then an alternative to pivoting is proposed. The latter considers a symmetric randomization of the original matrix using the so-called recursive butterfly matrices. In numerical experiments, the accuracy of tile-wise pivoting and of the randomization approach is compared with the accuracy of the Bunch-Kaufman algorithm.

Original languageEnglish
Title of host publicationParallel Processing and Applied Mathematics - 9th International Conference, PPAM 2011, Revised Selected Papers
Pages133-142
Number of pages10
EditionPART 1
DOIs
StatePublished - 2012
Event9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011 - Torun, Poland
Duration: Sep 11 2011Sep 14 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7203 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011
Country/TerritoryPoland
CityTorun
Period09/11/1109/14/11

Keywords

  • LDL factorization
  • dense linear algebra
  • pivoting
  • randomization
  • symmetric indefinite systems
  • tiled algorithms

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