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Hybrid scheduling for the parallel solution of linear systems

hal.structure.identifierAlgorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL]
dc.contributor.authorL'EXCELLENT, Jean-Yves
hal.structure.identifierAlgorithmes Parallèles et Optimisation [IRIT-APO]
hal.structure.identifierInstitut National Polytechnique (Toulouse) [Toulouse INP]
dc.contributor.authorAMESTOY, Patrick
hal.structure.identifierAlgorithmes Parallèles et Optimisation [IRIT-APO]
hal.structure.identifierInstitut National Polytechnique (Toulouse) [Toulouse INP]
dc.contributor.authorPRALET, Stéphane
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierAlgorithms and high performance computing for grand challenge applications [SCALAPPLIX]
dc.contributor.authorGUERMOUCHE, Abdou
dc.date.accessioned2024-04-15T09:52:22Z
dc.date.available2024-04-15T09:52:22Z
dc.date.created2006
dc.date.issued2006
dc.identifier.issn0167-8191
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198508
dc.description.abstractEnWe consider the problem of designing a dynamic scheduling strategy that takes into account both workload and memory information in the context of the parallel multifrontal factorization. The originality of our approach is that we base our estimations (work and memory) on a static optimistic scenario during the analysis phase. This scenario is then used during the factorization phase to constrain the dynamic decisions that compute fully irregular partitions in order to better balance the workload. We show that our new scheduling algorithm significantly improves both the memory behaviour and the factorization time. We give experimental results for large challenging real-life 3D problems on 64 and 128 processors.
dc.language.isoen
dc.publisherElsevier
dc.title.enHybrid scheduling for the parallel solution of linear systems
dc.typeArticle de revue
dc.identifier.doi10.1016/j.parco.2005.07.004
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.journalParallel Computing
bordeaux.page136-156
bordeaux.volume32
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.issue2
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00358623
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00358623v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Parallel%20Computing&rft.date=2006&rft.volume=32&rft.issue=2&rft.spage=136-156&rft.epage=136-156&rft.eissn=0167-8191&rft.issn=0167-8191&rft.au=L'EXCELLENT,%20Jean-Yves&AMESTOY,%20Patrick&PRALET,%20St%C3%A9phane&GUERMOUCHE,%20Abdou&rft.genre=article


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