Orthogonal reduction of dense matrices to bidiagonal form on computers with distributed memory architectures

In this paper, we describe a parallel implementation for the blocked reduction of dense matrices to bidiagonal form by Householder transformations. The method is based on the idea of using un-normed reflector vector. Results from experiments on the Intel Paragon are given. Comparison between the Sca...

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Veröffentlicht in:	Parallel computing Jg. 24; H. 2; S. 305 - 313
1. Verfasser:	Kuznetsov, S.V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.1998
Schlagworte:	Bidiagonal form Distributed memory architecture Householder transformation Linear algebra Bidiagonal form Distributed memory architecture Linear algebra Householder transformation
ISSN:	0167-8191, 1872-7336
Online-Zugang:	Volltext
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