Toward parallel scalable linear solvers suited for large scale hierarchical parallel platforms

Emmanuel Agullo 1, 2 Mathieu Faverge 1, 2 Luc Giraud 1 Abdou Guermouche 1, 2 Pierre Ramet 1, 2 Jean Roman 1, 2
1 HiePACS - High-End Parallel Algorithms for Challenging Numerical Simulations
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
2 LaBRI - Laboratoire Bordelais de Recherche en Informatique
Abstract : In this talk we will discuss the current and future research activities on the design of parallel scalable linear systems for large scale problems that range from dense linear algebra, to parallel sparse direct solver and hybrid iterative-direct approaches that attempt to go beyond the best capabilities one can expect from sparse direct solvers. In particular we will describe the current activities on the implementations designed on top of runtime systems that should provide both code and performance portabilities across different parallel platforms. Finally, we will present some preliminary results to address the resilience issues on extreme scale computers; for that purpose we consider numerical alternatives that do not intensively rely on checkpoint restart mechanisms.
keyword : Large Scale Simulations Resiliency Parallel Scalable Algorithms Numerical Linear Algebra
Type de document :
Communication dans un congrès
World Congress on Computational Mechanics, Jul 2014, Barcelona, Spain. 2014
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https://hal.inria.fr/hal-00987110
Contributeur : Pierre Ramet <>
Soumis le : lundi 5 mai 2014 - 14:51:03
Dernière modification le : jeudi 13 décembre 2018 - 18:48:06

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  • HAL Id : hal-00987110, version 1

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INRIA | INRIA-BORDEAUX | LABRI | UNIV-BORDEAUX

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Emmanuel Agullo, Mathieu Faverge, Luc Giraud, Abdou Guermouche, Pierre Ramet, et al.. Toward parallel scalable linear solvers suited for large scale hierarchical parallel platforms. World Congress on Computational Mechanics, Jul 2014, Barcelona, Spain. 2014. 〈hal-00987110〉

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