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A block variant of the GMRES method on massively parallel processors

✍ Scribed by Guangye Li


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
956 KB
Volume
23
Category
Article
ISSN
0167-8191

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✦ Synopsis


This paper presents a block variant of the GMRES method for solving general unsymmetric linear systems. This algorithm generates a transformed Hessenberg matrix by solely using block matrix operations and block data communications. It is shown that this algorithm with block size s, denoted by BVGMRES(s, m), is theoretically equivalent to the GMRES(s, m) method. The numerical results demonstrate that this algorithm can be. more efficient than the standard GMRES method on a cache based single CPU computer with optimized BLAS kernels. Furthermore, the gain in efficiency is more significant on MPPs due to both efficient block operations and efficient block data communications. Preliminary numerical results on some real-world problems also show that this algorithm may be stable up to some reasonable block size.


πŸ“œ SIMILAR VOLUMES


A block Jacobi method on a mesh of proce
✍ GimΓ©nez, D.; HernΓ‘ndez, V.; van de Geijn, R.; Vidal, A. M. πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 323 KB

In this paper, we study the parallelization of the Jacobi method to solve the symmetric eigenvalue problem on a mesh of processors. To solve this problem obtaining a theoretical efficiency of 100% it is necessary to exploit the symmetry of the matrix. The only previous algorithm we know exploiting t