Grid Computing: A Case Study in Hybrid GMRES Method

Abstract : Grid computing in general is a special type of parallel computing. It intends to deliver high-performance computing over distributed platforms for computation and data-intensive applications by making use of a very large amount of resources. The GMRES method is used widely to solve the large sparse linear systems. In this paper, we present an effective parallel hybrid asynchronous method, which combines the typical parallel GMRES method with the Least Square method that needs some eigenvalues obtained from a parallel Arnoldi process. And we apply it on a Grid Computing platform Grid5000. From the numeric results, we will present that this hybrid method has some advantage for some real or complex systems compared to the general method GMRES.
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Communication dans un congrès
Springer. NPC'2008 : International Conference on Network and Parallel Computing, Oct 2008, Shanghai, China. Springer, 5245, pp.286-296, 2008, LNCS. 〈10.1007/978-3-540-88140-7_26〉
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Contributeur : Ist Rennes <>
Soumis le : lundi 23 avril 2012 - 13:14:32
Dernière modification le : mardi 24 avril 2018 - 13:34:56

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Ye Zhang, Guy Bergere, Serge Petiton. Grid Computing: A Case Study in Hybrid GMRES Method. Springer. NPC'2008 : International Conference on Network and Parallel Computing, Oct 2008, Shanghai, China. Springer, 5245, pp.286-296, 2008, LNCS. 〈10.1007/978-3-540-88140-7_26〉. 〈hal-00690389〉

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