DocumentCode
2355242
Title
Solving nonsymmetric eigenproblems on distributed memory concurrent computers
Author
Petitet, A.P.
Author_Institution
Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA
fYear
1993
fDate
6-8 Oct 1993
Firstpage
211
Lastpage
215
Abstract
The design and implementation of a parallel nonsymmetric eigensolver is one of the most challenging problems in numerical linear algebra. This paper describes a distributed memory concurrent computer implementation of an algorithm based on the matrix sign function to “spectrally divide and conquer” the matrix. Performance and scalability results are also presented
Keywords
distributed memory systems; eigenvalues and eigenfunctions; linear algebra; mathematics computing; parallel algorithms; distributed memory concurrent computers; matrix sign function; nonsymmetric eigenproblems; numerical linear algebra; parallel nonsymmetric eigensolver; performance; scalability; Computer science; Concurrent computing; Distributed computing; Eigenvalues and eigenfunctions; Hypercubes; Libraries; Linear algebra; Software algorithms; Symmetric matrices; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Scalable Parallel Libraries Conference, 1993., Proceedings of the
Conference_Location
Mississippi State, MS
Print_ISBN
0-8186-4980-1
Type
conf
DOI
10.1109/SPLC.1993.365564
Filename
365564
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