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hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierAlgorithms and high performance computing for grand challenge applications [SCALAPPLIX]
dc.contributor.authorHÉNON, Pascal
hal.structure.identifierUniversity of Minnesota [Twin Cities] [UMN]
hal.structure.identifierDepartment of Computer Science and Engineering [Minneapolis]
hal.structure.identifierInstitut d'Informatique et de Mathématiques Appliquées de Grenoble [IMAG]
dc.contributor.authorSAAD, Yousef
dc.date.accessioned2024-04-15T09:52:44Z
dc.date.available2024-04-15T09:52:44Z
dc.date.created2004
dc.date.issued2006
dc.identifier.issn1064-8275
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198544
dc.description.abstractEnPHIDAL (parallel hierarchical interface decomposition algorithm) is a parallel incomplete factorization method which exploits a hierarchical interface decomposition of the adjacency graph of the coefficient matrix. The idea of the decomposition is similar to that of the well-known wirebasket techniques used in domain decomposition. However, the method is devised for general, irregularly structured, sparse linear systems. This paper describes a few algorithms for obtaining good quality hierarchical graph decompositions and discusses the parallel implementation of the factorization procedure. Numerical experiments are reported to illustrate the scalability of the algorithm and its effectiveness as a general purpose parallel linear system solver.
dc.language.isoen
dc.publisherSociety for Industrial and Applied Mathematics
dc.subject.enparallel incomplete LU factorization
dc.subject.enILU
dc.subject.ensparse Gaussian elimination
dc.subject.enwirebasket decomposition
dc.subject.eninterface decomposition
dc.subject.enpreconditioning
dc.subject.enILU with threshold
dc.subject.eniterative methods
dc.subject.ensparse linear systems
dc.title.enA Parallel Multistage ILU Factorization based on a Hierarchical Graph Decomposition
dc.typeArticle de revue
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.journalSIAM Journal on Scientific Computing
bordeaux.page2266--2293
bordeaux.volume28
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00353491
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00353491v1
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