Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solver
| hal.structure.identifier | Algorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL] | |
| dc.contributor.author | AGULLO, Emmanuel | |
| hal.structure.identifier | Algorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL] | |
| dc.contributor.author | L'EXCELLENT, Jean-Yves | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| hal.structure.identifier | Algorithms and high performance computing for grand challenge applications [SCALAPPLIX] | |
| dc.contributor.author | GUERMOUCHE, Abdou | |
| dc.date.accessioned | 2024-04-15T09:52:21Z | |
| dc.date.available | 2024-04-15T09:52:21Z | |
| dc.date.created | 2007 | |
| dc.date.issued | 2007 | |
| dc.date.conference | 2007 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/198506 | |
| dc.description.abstractEn | High performance sparse direct solvers are often a method of choice in various simulation problems. However, they require a large amount of memory compared to iterative methods. In this context, out-of-core solvers must be employed, where disks are used when the storage requirements are too large with respect to the physical memory available. In this paper, we study how to minimize the I/O requirements in the multifrontal method, a particular direct method to solve large-scale problems efficiently. Experiments on large real-life problems also show that the volume of I/O obtained when minimizing the storage requirement can be significantly reduced by applying algorithms designed to reduce the I/O volume. | |
| dc.language.iso | en | |
| dc.source.title | Proceedings of High Performance Computing – HiPC 2007 | |
| dc.title.en | Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solver | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC] | |
| bordeaux.page | 47-58 | |
| bordeaux.hal.laboratories | Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | High Performance Computing – HiPC 2007 | |
| bordeaux.country | IN | |
| bordeaux.title.proceeding | Proceedings of High Performance Computing – HiPC 2007 | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00358625 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00358625v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Proceedings%20of%20High%20Performance%20Computing%20%E2%80%93%20HiPC%202007&rft.date=2007&rft.spage=47-58&rft.epage=47-58&rft.au=AGULLO,%20Emmanuel&L'EXCELLENT,%20Jean-Yves&GUERMOUCHE,%20Abdou&rft.genre=unknown |
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