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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Vydáno v:Parallel computing Ročník 24; číslo 2; s. 305 - 313
Hlavní autor: Kuznetsov, S.V.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.02.1998
Témata:
Bidiagonal form
Distributed memory architecture
Householder transformation
Linear algebra
Bidiagonal form
Distributed memory architecture
Linear algebra
Householder transformation
ISSN:0167-8191, 1872-7336
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Shrnutí: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 ScaLapack bidiagonalization and the method proposed is provided.
Bibliografie:ObjectType-Article-2
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ISSN:0167-8191
1872-7336
DOI:10.1016/S0167-8191(98)00008-8