On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme
| 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 | 2024-04-15T09:52:20Z | |
| dc.date.available | 2024-04-15T09:52:20Z | |
| dc.date.created | 2008 | |
| dc.date.issued | 2008 | |
| dc.date.conference | 2008 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/198504 | |
| dc.description.abstractEn | Sparse direct solvers, and in particular multifrontal methods, are widely used in various simulation problems. Because of their large memory requirements, the use of out-of-core solvers is compulsory for large-scale problems, where disks are used to extend the core memory. This study is at the junction of two previous independent works: it extends the problem of the minimization of the volume of I/O [4] in the multifrontal method to the more general flexible parent allocation algorithm [8]. We explain how to compute the I/O volume with respect to this scheme and propose an efficient greedy heuristic which significantly reduces the I/O volume on real-life problems in this new context. | |
| dc.language.iso | en | |
| dc.source.title | Proceedings of High Performance Computing for Computational Science - VECPAR 2008 | |
| dc.title.en | On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC] | |
| bordeaux.page | 328-335 | |
| 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 for Computational Science - VECPAR 2008 | |
| bordeaux.country | FR | |
| bordeaux.title.proceeding | Proceedings of High Performance Computing for Computational Science - VECPAR 2008 | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00358627 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00358627v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Proceedings%20of%20High%20Performance%20Computing%20for%20Computational%20Science%20-%20VECPAR%202008&rft.date=2008&rft.spage=328-335&rft.epage=328-335&rft.au=AGULLO,%20Emmanuel&L'EXCELLENT,%20Jean-Yves&GUERMOUCHE,%20Abdou&rft.genre=unknown |
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