CANIOU, Yves; GAY, Jean-Sebastien; RAMET, Pierre

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CANIOU, Yves
Laboratoire de l'Informatique du Parallélisme [LIP]
Algorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL]

GAY, Jean-Sebastien

RAMET, Pierre
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

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Communication dans un congrès

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VECPAR'08, 2008, Toulouse. 2008, vol. 5336, p. 46--52

Springer Verlag

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The use of scientific computing centers becomes more and more difficult on modern parallel architectures. Users must face a large variety of batch systems (with their own specific syntax) and have to set many parameters to tune their applications (e.g., processors and/or threads mapping, memory resource constraints). Moreover, finding the optimal performance is not the only criteria when a pool of jobs is submitted on the Grid (for numerical parametric analysis for instance) and one must focus on the wall-time completion. In this work we tackle the problem by using the D IET Grid middleware that integrates an adaptable PaStiX service to solve a set of experiments issued from the simulations of the ASTER project.< Réduire

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Tunable parallel experiments in a GridRPC framework: application to linear solvers

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