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hal.structure.identifierEDF [EDF]
dc.contributor.authorBARRAULT, Maxime
hal.structure.identifierEDF [EDF]
dc.contributor.authorLATHUILIÈRE, Bruno
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierParallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems [BACCHUS]
dc.contributor.authorRAMET, Pierre
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierHigh-End Parallel Algorithms for Challenging Numerical Simulations [HiePACS]
dc.contributor.authorROMAN, Jean
dc.date.accessioned2024-04-15T09:48:15Z
dc.date.available2024-04-15T09:48:15Z
dc.date.issued2011
dc.identifier.issn0021-9991
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198165
dc.description.abstractEnA reactivity computation consists of computing the highest eigenvalue of a generalized eigenvalue problem, for which an inverse power algorithm is commonly used. Very fine modelizations are difficult to treat for our sequential solver, based on the simplified transport equations, in terms of memory consumption and computational time. A first implementation of a Lagrangian based domain decomposition method brings to a poor parallel efficiency because of an increase in the power iterations. In order to obtain a high parallel efficiency, we improve the parallelization scheme by changing the location of the loop over the subdomains in the overall algorithm and by benefiting from the characteristics of the Raviart-Thomas finite element. The new parallel algorithm still allows us to locally adapt the numerical scheme (mesh, finite element order). However, it can be significantly optimized for the matching grid case. The good behavior of the new parallelization scheme is demonstrated for the matching grid case on several hundreds of nodes for computations based on a pin-by-pin discretization.
dc.language.isoen
dc.publisherElsevier
dc.title.enEfficient Parallel Resolution of The Simplified Transport Equations in Mixed-Dual Formulation
dc.typeArticle de revue
dc.identifier.doi10.1016/j.jcp.2010.11.047
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.journalJournal of Computational Physics
bordeaux.page2004-2020
bordeaux.volume230
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.issue5
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00547406
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00547406v1
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