Design, tuning and evaluation of parallel multilevel ILU preconditioners

José I. Aliaga, Matthias Bollhöfer, Alberto F. Martín, Enrique S. Quintana-Ortí

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

5 Citations (Scopus)

Abstract

In this paper, we present a parallel multilevel ILU preconditioner implemented with OpenMP. We employ METIS partitioning algorithms to decompose the computation into concurrent tasks, which are then scheduled to threads. Concretely, we combine decompositions which obtain significantly more tasks than processors, and the use of dynamic scheduling strategies in order to reduce the thread's idle time, which it is shown to be the main source of overhead in our parallel algorithm. Experimental results on a shared-memory platform consisting of 16 processors report remarkable performance for our approach.

Original languageEnglish
Title of host publicationHigh Performance Computing for Computational Science - VECPAR 2008 - 8th International Conference, Revised Selected Papers
Pages314-327
Number of pages14
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event8th International Conference on High Performance Computing for Computational Science, VECPAR 2008 - Toulouse, France
Duration: 24 Jun 200827 Jun 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5336 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on High Performance Computing for Computational Science, VECPAR 2008
Country/TerritoryFrance
CityToulouse
Period24/06/0827/06/08

Fingerprint

Dive into the research topics of 'Design, tuning and evaluation of parallel multilevel ILU preconditioners'. Together they form a unique fingerprint.

Cite this