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Recursive least-squares using a hybrid Householder algorithm on massively parallel SIMD systems

✍ Scribed by E.J. Kontoghiorghes; M. Clint; H.-H. Naegeli


Book ID
104304745
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
273 KB
Volume
25
Category
Article
ISSN
0167-8191

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✦ Synopsis


Within the context of recursive least-squares, the implementation of a Householder algorithm for block updating the QR decomposition, on massively parallel SIMD systems, is considered. Initially, two implementations based on dierent mapping strategies for distributing the data matrices over the processing elements of the parallel computer are investigated. Timing models show that neither of these implementations is superior in all cases. In order to increase computational speed, a hybrid implementation uses performance models to partition the problem into two subproblems which are then solved using the ®rst and second implementation, respectively.