DocumentCode :
2140769
Title :
Performance analysis of partition algorithms for parallel solution of nonlinear systems of equations
Author :
Yang, Geng ; Rong, Chunming
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanjing Univ. of Posts & Telecommun., China
fYear :
2003
fDate :
27-29 Aug. 2003
Firstpage :
684
Lastpage :
687
Abstract :
We discuss performance of partition algorithms for parallel solution of large-scale nonlinear systems of equations. We describe first a block Broyden algorithm for solving a nonlinear system in which a diagonal matrix is used as an iterative matrix. Then, we analyze the parallelism of the algorithm and discuss in details different partitioning schemes. Finally, we give some numerical results and analyze performance of the partitioning schemes. The numerical results show that the algorithms combining block Broyden method with partitioning techniques are effective, and that they can be used in the large-scale problems arising from scientific and engineering computing.
Keywords :
computational complexity; iterative methods; matrix algebra; nonlinear equations; parallel algorithms; software performance evaluation; block Broyden algorithm; block partitioning; iterative matrix; nonlinear equation system; parallel computation; partition algorithm; performance analysis; supercomputing; Algorithm design and analysis; Computer science; Convergence; Iterative algorithms; Large-scale systems; Nonlinear equations; Nonlinear systems; Partitioning algorithms; Performance analysis; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on
Print_ISBN :
0-7803-7840-7
Type :
conf
DOI :
10.1109/PDCAT.2003.1236391
Filename :
1236391
Link To Document :
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