In the present paper, we propose a hybrid parallel method for large sparse eigenvalue problems in a grid computing environment. A moment-based method that finds several eigenvalues and their corresponding eigenvectors in a given domain is used. This method is suitable for master-worker type parallel programming models. In order to improve the parallel efficiency of the method, we propose a hybrid implementation using a GridRPC system Ninf-G and MPI. We examined the performance of the proposed method in an environment where several PC clusters are used. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Sakurai, T., Kodaki, Y., Umeda, H., Inadomi, Y., Watanabe, T., & Nagashima, U. (2006). A hybrid parallel method for large sparse eigenvalue problems on a Grid computing environment using Ninf-G/MPI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3743 LNCS, pp. 438–445). https://doi.org/10.1007/11666806_50
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