AGULLO, Emmanuel; L'EXCELLENT, Jean-Yves; GUERMOUCHE, Abdou

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AGULLO, Emmanuel
Algorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL]

L'EXCELLENT, Jean-Yves
Algorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL]

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

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Communication dans un congrès

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Proceedings of High Performance Computing for Computational Science - VECPAR 2008, Proceedings of High Performance Computing for Computational Science - VECPAR 2008, High Performance Computing for Computational Science - VECPAR 2008, 2008. 2008p. 328-335

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Sparse direct solvers, and in particular multifrontal methods, are widely used in various simulation problems. Because of their large memory requirements, the use of out-of-core solvers is compulsory for large-scale problems, where disks are used to extend the core memory. This study is at the junction of two previous independent works: it extends the problem of the minimization of the volume of I/O [4] in the multifrontal method to the more general flexible parent allocation algorithm [8]. We explain how to compute the I/O volume with respect to this scheme and propose an efficient greedy heuristic which significantly reduces the I/O volume on real-life problems in this new context.< Leer menos

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On the I/O Volume in Out-of-Core Multifrontal Methods with a Flexible Allocation Scheme

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