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

Yves Caniou 1, 2 Jean-Sebastien Gay Pierre Ramet 3, 4
2 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
3 SCALAPPLIX - Algorithms and high performance computing for grand challenge applications
Université Bordeaux Segalen - Bordeaux 2, Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : 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.
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Contributor : Pierre Ramet <>
Submitted on : Thursday, December 11, 2008 - 7:26:59 PM
Last modification on : Wednesday, November 20, 2019 - 2:42:56 AM


  • HAL Id : inria-00346611, version 1



Yves Caniou, Jean-Sebastien Gay, Pierre Ramet. Tunable parallel experiments in a GridRPC framework: application to linear solvers. VECPAR'08, 2008, Toulouse, France. pp.46--52. ⟨inria-00346611⟩



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