Partitioning and Blocking Issues for a Parallel Incomplete Factorization
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]
< Reduce
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Language
en
Communication dans un congrès
This item was published in
PARA'06, 2006, Umea. 2006, vol. 4699, p. 929--937
Springer Verlag
English Abstract
The purpose of this work is to provide a method which exploits the parallel block-wise algorithmic approach used in the framework of high performance sparse direct solvers in order to develop robust and efficient preconditioners ...Read more >
The purpose of this work is to provide a method which exploits the parallel block-wise algorithmic approach used in the framework of high performance sparse direct solvers in order to develop robust and efficient preconditioners based on a parallel incomplete factorization.Read less <
Origin
Hal imported