DocumentCode
2975537
Title
Matrix sign function implementations on a hypercube multiprocessor
Author
Gardiner, Judith D. ; Laub, A.
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fYear
1988
fDate
7-9 Dec 1988
Firstpage
1466
Abstract
Three implementations of a matrix sign function algorithm for solving generalized algebraic Riccati equations on an Intel iPSC/d5 hypercube multiprocessor are described. The three implementations are compared for complexity of computation and communication. The best one showed efficiencies of about 60% on large problems. Timing results are given
Keywords
mathematics computing; matrix algebra; multiprocessing systems; Intel iPSC/d5 hypercube multiprocessor; generalized algebraic Riccati equations; matrix sign function algorithm; Algorithm design and analysis; Concurrent computing; Hypercubes; Iterative algorithms; Parallel algorithms; Parallel processing; Partitioning algorithms; Riccati equations; Symmetric matrices; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/CDC.1988.194569
Filename
194569
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