ESNARD, Aurélien; DUSSERE, Michaël; COULAUD, Olivier

doi:10.1007/b99409

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

DUSSERE, Michaël
Algorithms and high performance computing for grand challenge applications [SCALAPPLIX]

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

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Ce document a été publié dans

10th International Euro-Par Conference, 2004, Pisa. 2004, vol. 3149/2004, p. 90--97

Springer-Verlag

Résumé en anglais

The on-line visualization and the computational steering of parallel simulations come up against a serious coherence problem. Indeed, data distributed over parallel processes must be accessed carefully to ensure they are presented to the visualization system in a meaningful way. In this paper, we present a solution to the coherence problem for structured parallel simulations. We introduce a hierarchical task model that allows to better grasp the complexity of simulations, too often considered as "single-loop" applications. Thanks to this representation, we can schedule in parallel the request treatments on the simulation processes and satisfy the temporal coherence.< Réduire

Mots clés en italien

parallelism

computational steering

numerical simulation

online visualization

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A Time-Coherent Model for the Steering of Parallel Simulations

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