Applying parallel direct solver skills to build robust and highly performant preconditioners

Pascal Hénon 1 Francois Pellegrini 1, 2 Pierre Ramet 1, 2 Jean Roman 1, 2 Yousef Saad 3, 4
1 SCALAPPLIX - Algorithms and high performance computing for grand challenge applications
Université Bordeaux Segalen - Bordeaux 2, Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : The purpose of our work is to provide a method which exploits the parallel blockwise algorithmic approach used in the framework of high performance sparse direct solvers in order to develop robust preconditioners based on a parallel incomplete factorization. The idea is then to define an adaptive blockwise incomplete factorization that is much more accurate (and numerically more robust) than the scalar incomplete factorizations commonly used to precondition iterative solvers.
keyword : Sparse
Type de document :
Communication dans un congrès
PARA'04, 2004, Copenhagen, Denmark. Springer Verlag, 3732, pp.601--619, 2004, LNCS
Liste complète des métadonnées

https://hal.inria.fr/inria-00346623
Contributeur : Pierre Ramet <>
Soumis le : jeudi 11 décembre 2008 - 20:43:53
Dernière modification le : jeudi 11 janvier 2018 - 06:22:12

Identifiants

  • HAL Id : inria-00346623, version 1

Collections

Citation

Pascal Hénon, Francois Pellegrini, Pierre Ramet, Jean Roman, Yousef Saad. Applying parallel direct solver skills to build robust and highly performant preconditioners. PARA'04, 2004, Copenhagen, Denmark. Springer Verlag, 3732, pp.601--619, 2004, LNCS. 〈inria-00346623〉

Partager

Métriques

Consultations de la notice

116