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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Bibliographic Details

Published in:	Parallel computing Vol. 24; no. 2; pp. 305 - 313
Main Author:	Kuznetsov, S.V.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.1998
Subjects:	Bidiagonal form Distributed memory architecture Householder transformation Linear algebra Bidiagonal form Distributed memory architecture Linear algebra Householder transformation
ISSN:	0167-8191, 1872-7336
Online Access:	Get full text
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