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A parallel hybrid method of GMRES on GRID system

By Ye Zhang, Guy Bergere and Serge Petiton


International audienceGrid 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

Topics: [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
Publisher: 'Institute of Electrical and Electronics Engineers (IEEE)'
Year: 2007
DOI identifier: 10.1109/IPDPS.2007.370546
OAI identifier: oai:HAL:hal-00689364v1
Provided by: HAL - Lille 3
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