DocumentCode
2199529
Title
Parallel one-sided Householder transformations for eigenvalues computation
Author
Ralha, R.M.S.
Author_Institution
Dept. de Matematica Inf., Universidade de Beira Interior, Covilha, Portugal
fYear
1993
fDate
27-29 Jan 1993
Firstpage
218
Lastpage
221
Abstract
One-sided Householder transformations for reducing a matrix (symmetric or unsymmetric) to the appropriate canonical form are proposed and their advantages over the classical two-sided methods are investigated for a parallel computer with distributed memory
Keywords
eigenvalues and eigenfunctions; mathematics computing; parallel algorithms; canonical form; distributed memory; eigenvalues computation; parallel computer; parallel one-sided Householder transformations; Computer architecture; Concurrent computing; Costs; Distributed computing; Eigenvalues and eigenfunctions; Jacobian matrices; Parallel architectures; Parallel processing; Software tools; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing, 1993. Proceedings. Euromicro Workshop on
Conference_Location
Gran Canaria
Print_ISBN
0-8186-3610-6
Type
conf
DOI
10.1109/EMPDP.1993.336400
Filename
336400
Link To Document