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Conception et mise en oeuvre d'outils efficaces pour le partitionnement et la distribution parallèles de problème numériques de très grande taille

Abstract : This thesis deals with parallel graph partitioning and, more specifically, focuses on its application to sparse matrix ordering.

To solve this problem, we use a multi-level scheme, of which we have parallelized the coarsening and uncoarsening phases.

We have developed, for the coarsening phase, a new synchronization algorithm to handle conflicts in remote matchings. We have also improved over existing algorithms by adding to them a selection step which aims at keeping only the most useful communications.

Regarding the uncoarsening phase, we have introduced the concept of band graph, which allows us to dramatically decrease problem size for refinement algorithms. We have generalized the use of band graphs to the sequential and parallel implementations of our Scotch partitioning tool.
Basing on band graphs, we have proposed a new application of genetic algorithms to the uncoarsening phase, using them as parallel refinement algorithms.
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Theses
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https://tel.archives-ouvertes.fr/tel-00199898
Contributor : Cédric Chevalier <>
Submitted on : Wednesday, December 19, 2007 - 6:01:23 PM
Last modification on : Thursday, January 11, 2018 - 6:20:17 AM
Long-term archiving on: : Thursday, September 27, 2012 - 11:55:57 AM

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  • HAL Id : tel-00199898, version 1

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Cédric Chevalier. Conception et mise en oeuvre d'outils efficaces pour le partitionnement et la distribution parallèles de problème numériques de très grande taille. Modélisation et simulation. Université Sciences et Technologies - Bordeaux I, 2007. Français. ⟨tel-00199898⟩

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