Back to Search
Start Over
A Hybrid Parallel Method for Large Sparse Eigenvalue Problems on a Grid Computing Environment Using Ninf-G/MPI.
- Source :
- Large-Scale Scientific Computing; 2006, p438-445, 8p
- Publication Year :
- 2006
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540319948
- Database :
- Complementary Index
- Journal :
- Large-Scale Scientific Computing
- Publication Type :
- Book
- Accession number :
- 32904845
- Full Text :
- https://doi.org/10.1007/11666806_50