Parallel resolution of sparse linear systems by mixing direct and iterative methods

Jérémie Gaidamour (1, 2) , Pascal Hénon (1, 2) , Jean Roman (1, 2) , Yousef Saad (3, 4, 5)

1 SCALAPPLIX - Algorithms and high performance computing for grand challenge applications
2 LaBRI - Laboratoire Bordelais de Recherche en Informatique
3 UMN - University of Minnesota [Twin Cities]
4 Department of Computer Science and Engineering [Minneapolis]
5 IMAG - Institut d'Informatique et de Mathématiques Appliquées de Grenoble

Mots clés: parallel sparse linear solver; Schur complement; iterative method; incomplete factorization; domain decomposition; hierarchical interface decomposition

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Jérémie Gaidamour, Pascal Hénon, Jean Roman, Yousef Saad. Parallel resolution of sparse linear systems by mixing direct and iterative methods. International Symposium on Iterative Methods in Scientific Computing (IMACS), Mar 2008, Lille, France. ⟨hal-00353598⟩