Efficient algorithms for direct resolution of large sparse system on clusters of SMP nodes
HÉNON, Pascal
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
RAMET, Pierre
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
ROMAN, Jean
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
HÉNON, Pascal
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
RAMET, Pierre
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
ROMAN, Jean
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
< Leer menos
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
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en
Communication dans un congrès
Este ítem está publicado en
SIAM Conference on Applied Linear Algebra, 2003, Williamsburg. 2003
Resumen en inglés
In previous works, we have described an efficient static scheduling based on a mixed 1D/2D block distribution with local aggregation for a parallel supernodal version of sparse $LL^T$ factorization. In this paper, we present ...Leer más >
In previous works, we have described an efficient static scheduling based on a mixed 1D/2D block distribution with local aggregation for a parallel supernodal version of sparse $LL^T$ factorization. In this paper, we present new algorithms suitable for overcoming architectures based on clusters of SMP nodes and also technics to keep a good memory scalability. This algorithms are implemented in the PaStiX library that achieved high performances (resolution of a $26.10^6$ unknown system on 192 ES45 quadriprocessors with 35 percent of peak performance).< Leer menos
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