DocumentCode :
2011426
Title :
A model for comparing memory strategies for large scale matrix in linear equation and one experimental case
Author :
Zhenxiao, Yang ; Haichang, Zhou ; Zhixin, Ba
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2000
fDate :
14-17 May 2000
Firstpage :
1034
Abstract :
Suppose there is the linear equation Ax=b, where A is a large scale sparse matrix. In this article, we set up a model for testing efficiency of different memory strategies. And as an example, we compare several matrix storing methods in applying PCG methods to linear equations generated by "Numerical Simulation for Bridgman Method".
Keywords :
simulation; sparse matrices; PCG methods; large scale matrix; linear equation; matrix storing methods; memory strategies;
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.2000.843598
Filename :
843598
Link To Document :
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