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Hybrid scheduling for the parallel solution of linear systems

Jean-Yves l'Excellent 1 Patrick Amestoy 2 Stéphane Pralet 3 Abdou Guermouche 4, 5
1 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
2 IRIT-APO - Algorithmes Parallèles et Optimisation
IRIT - Institut de recherche en informatique de Toulouse
5 SCALAPPLIX - Algorithms and high performance computing for grand challenge applications
INRIA Futurs, Université Bordeaux Segalen - Bordeaux 2, Université Sciences et Technologies - Bordeaux 1, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : We consider the problem of designing a dynamic scheduling strategy that takes into account both workload and memory information in the context of the parallel multifrontal factorization. The originality of our approach is that we base our estimations (work and memory) on a static optimistic scenario during the analysis phase. This scenario is then used during the factorization phase to constrain the dynamic decisions that compute fully irregular partitions in order to better balance the workload. We show that our new scheduling algorithm significantly improves both the memory behaviour and the factorization time. We give experimental results for large challenging real-life 3D problems on 64 and 128 processors.
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Contributor : Abdou Guermouche Connect in order to contact the contributor
Submitted on : Wednesday, February 4, 2009 - 3:15:36 AM
Last modification on : Friday, December 3, 2021 - 3:38:04 PM


  • HAL Id : hal-00358623, version 1


Jean-Yves l'Excellent, Patrick Amestoy, Stéphane Pralet, Abdou Guermouche. Hybrid scheduling for the parallel solution of linear systems. Parallel Computing, Elsevier, 2006, 32 (2), pp.136-156. ⟨hal-00358623⟩



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