Mostrar el registro sencillo del ítem

High Performance Complete and Incomplete Factorizations for Very Large Sparse Systems by using Scotch and PaStiX softwares

hal.structure.identifierAlgorithms and high performance computing for grand challenge applications [SCALAPPLIX]
dc.contributor.authorHÉNON, Pascal
hal.structure.identifierAlgorithms and high performance computing for grand challenge applications [SCALAPPLIX]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorPELLEGRINI, Francois
hal.structure.identifierAlgorithms and high performance computing for grand challenge applications [SCALAPPLIX]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorRAMET, Pierre
hal.structure.identifierAlgorithms and high performance computing for grand challenge applications [SCALAPPLIX]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorROMAN, Jean
hal.structure.identifierUniversity of Minnesota [Twin Cities] [UMN]
hal.structure.identifierDepartment of Computer Science and Engineering [Minneapolis]
dc.contributor.authorSAAD, Yousef
dc.date.accessioned2024-04-15T09:52:57Z
dc.date.available2024-04-15T09:52:57Z
dc.date.issued2004
dc.date.conference2004
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198565
dc.description.abstractEnPaStiX is a scientific library that provides a high performance direct supernodal solver for very large sparse linear systems. It relies on a block factorization based on an hybrid ordering (Nested Dissection + Halo Approximate Minimum Degree) obtained using the Scotch library. Efficient static scheduling and memory management are used to solve irregular problems with more of 25 millions unknowns on clusters of SMP nodes. In order to solve larger 3D problems, we apply these blockwise algorithms to compute robust and efficient parallel ILU preconditioners.
dc.language.isoen
dc.title.enHigh Performance Complete and Incomplete Factorizations for Very Large Sparse Systems by using Scotch and PaStiX softwares
dc.typeCommunication dans un congrès
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleEleventh SIAM Conference on Parallel Processing for Scientific Computing
bordeaux.countryUS
bordeaux.conference.citySan Francisco
bordeaux.peerReviewedoui
hal.identifierinria-00346622
hal.version1
hal.invitednon
hal.proceedingsnon
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00346622v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2004&rft.au=H%C3%89NON,%20Pascal&PELLEGRINI,%20Francois&RAMET,%20Pierre&ROMAN,%20Jean&SAAD,%20Yousef&rft.genre=unknown


Archivos en el ítem

ArchivosTamañoFormatoVer

No hay archivos asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem