DocumentCode :
2011773
Title :
A class of parallel algorithms for solving large sparse linear systems on multiprocessors
Author :
Wang, Xiaoge ; Chen, Richard M M ; Wu, Xue ; An, Xinghua
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2000
fDate :
14-17 May 2000
Firstpage :
1146
Abstract :
We present a class of new parallel algorithms for solving large sparse linear systems with special structure on distributed memory multiprocessor systems such as PC clusters. The objective of these algorithms is to reduce the communication between processors so that they could be efficiently implemented. These algorithms are implemented on a cluster of PCs. The experiment results are presented and discussed.
Keywords :
distributed memory systems; microcomputer applications; parallel algorithms; sparse matrices; workstation clusters; PC clusters; distributed memory multiprocessor systems; large sparse linear system solving; parallel algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on
Conference_Location :
Beijing, China
Print_ISBN :
0-7695-0589-2
Type :
conf
DOI :
10.1109/HPC.2000.843615
Filename :
843615
Link To Document :
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