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A NUMA Aware Scheduler for a Parallel Sparse Direct Solver

hal.structure.identifierInnovative Computing Laboratory [Knoxville] [ICL]
dc.contributor.authorFAVERGE, Mathieu
hal.structure.identifierParallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
dc.contributor.authorLACOSTE, Xavier
hal.structure.identifierParallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorRAMET, Pierre
dc.date.accessioned2024-04-15T09:48:05Z
dc.date.available2024-04-15T09:48:05Z
dc.date.created2010-05-10
dc.date.issued2010-05-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198150
dc.description.abstractEnOver the past few years, parallel sparse direct solvers made significant progress and are now able to solve efficiently industrial three-dimensional problems with several millions of unknowns. To solve efficiently these problems, PaStiX and WSMP solvers for example, provide an hybrid MPI-thread implementation well suited for SMP nodes or multi-core architectures. It enables to drastically reduce the memory overhead of the factorization and improve the scalability of the algorithms. However, today's modern architectures introduce new hierarchical memory accesses that are not handle in these solvers. We present in this paper three improvements on PaStiX solver to improve the performance on modern architectures : memory allocation, communication overlap and dynamic scheduling and some results on numerical test cases will be presented to prove the efficiency of the approach on NUMA architectures.
dc.description.sponsorshipAdaptation et Optimisation des Performances Applicatives sur architectures NUMA. Etude et Mise en Œuvre sur des Applications en SISmologie. - ANR-05-CIGC-0002
dc.language.isoen
dc.subject.ensparse direct solver
dc.subject.enNUMA architecture
dc.subject.enmulti-cores
dc.subject.endynamic scheduling
dc.title.enA NUMA Aware Scheduler for a Parallel Sparse Direct Solver
dc.typeRapport
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.page22
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.type.institutionINRIA
bordeaux.type.reportrr
hal.identifierinria-00549827
hal.version1
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00549827v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2010-05-10&rft.spage=22&rft.epage=22&rft.au=FAVERGE,%20Mathieu&LACOSTE,%20Xavier&RAMET,%20Pierre&rft.genre=unknown


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