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Analysis and Improvments of the Memory Usage of a Multifrontal Solver

Abdou Guermouche 1 Jean-Yves l'Excellent Gil Utard
1 REMAP - Regularity and massive parallel computing
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : We are concerned with the memory usage of sparse direct solvers. We particula- rly focus on the influence of state-of-the-art sparse matrix reordering techniques on the dynamic memory usage of a multifrontal solver, MUMPS, and present algorithms to modify the assembly tree traversal that aim at reducing the memory usage. A large number of experiments show the interest of the approach for sequential executions.
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https://hal.inria.fr/inria-00071857
Contributor : Rapport de Recherche Inria <>
Submitted on : Tuesday, May 23, 2006 - 6:58:59 PM
Last modification on : Tuesday, November 19, 2019 - 2:44:32 AM

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  • HAL Id : inria-00071857, version 1

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Abdou Guermouche, Jean-Yves l'Excellent, Gil Utard. Analysis and Improvments of the Memory Usage of a Multifrontal Solver. [Research Report] RR-4729, LIP RR-2003-08, INRIA, LIP. 2003. ⟨inria-00071857⟩

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