A parallel hybrid method of GMRES on GRID system

Abstract : Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distributed platforms for computation and data-intensive applications. In this paper, we will present an effective parallel hybrid asynchronous method to solve large sparse linear systems by the use of a Grid Computing platform Grid5000. This hybrid method combines a parallel GMRES(m) (Generalized Minimum RESidual) algorithm with the Least Square method that needs some eigenvalues obtained from a parallel Arnoldi algorithm. All of these algorithms run on the different processors of the platform Grid5000. Grid5000, a 5000 CPUs nation-wide infrastructure for research in Grid computing, is designed to provide a scientific tool for computing. We discuss the performances of this hybrid method deployed on Grid5000, and compare these performances with those on the IBM SP series supercomputers.
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Communication dans un congrès
IEEE. IPDPS'2007 : IEEE International Parallel and Distributed Processing Symposium, Mar 2007, Long Beach, California, United States. IEEE, 2007, 〈10.1109/IPDPS.2007.370546〉
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https://hal.inria.fr/hal-00689364
Contributeur : Ist Rennes <>
Soumis le : jeudi 19 avril 2012 - 15:16:54
Dernière modification le : mardi 24 avril 2018 - 13:34:51

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Ye Zhang, Guy Bergere, Serge Petiton. A parallel hybrid method of GMRES on GRID system. IEEE. IPDPS'2007 : IEEE International Parallel and Distributed Processing Symposium, Mar 2007, Long Beach, California, United States. IEEE, 2007, 〈10.1109/IPDPS.2007.370546〉. 〈hal-00689364〉

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