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On using an hybrid MPI-Thread programming for the implementation of a parallel sparse direct solver on a network of SMP nodes

Pascal Hénon 1 Pierre Ramet 1, 2 Jean Roman 1, 2
1 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
2 LaBRI - Laboratoire Bordelais de Recherche en Informatique
Abstract : Since the last decade, most of the supercomputer architectures are based on cluster of SMP nodes. In those architectures the exchanges between processors are made through shared memory when the processor are located on a same SMP node and through the network otherwise. Generally, the MPI implementations provided by the constructor on those machines are adapted to this situation and take advantage of the share memory to treat messages between processors in a same SMP node. Nevertheless, this transparent approach to exploit shared memory do not avoid the storage of buffers needed in asynchronous communications. In the parallel direct solvers the storage of these buffers can become a bottleneck. In this paper, we propose an hybrid thread-MPI implementation of a direct solver and analyse the benefits of this approach in term of memory and run-time performances.
keyword : Sparse
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Conference papers
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https://hal.inria.fr/inria-00346610
Contributor : Pierre Ramet <>
Submitted on : Thursday, December 11, 2008 - 7:24:37 PM
Last modification on : Thursday, February 11, 2021 - 2:38:02 PM

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  • HAL Id : inria-00346610, version 1

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CNRS | INRIA | LABRI | UNIV-BORDEAUX

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Pascal Hénon, Pierre Ramet, Jean Roman. On using an hybrid MPI-Thread programming for the implementation of a parallel sparse direct solver on a network of SMP nodes. Sixth International Conference on Parallel Processing and Applied Mathematics, Workshop HPC Linear Algebra, 2005, Poznan, Poland. pp.1050--1057. ⟨inria-00346610⟩

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