Parallel Two-Sided Matrix Reduction to Band Bidiagonal Form on Multicore Architectures

The objective of this paper is to extend, in the context of multicore architectures, the concepts of tile algorithms [Buttari et al., 2007] for Cholesky, LU, and QR factorizations to the family of two-sided factorizations. In particular, the bidiagonal reduction of a general, dense matrix is very of...

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Bibliographic Details
Published in:	IEEE transactions on parallel and distributed systems Vol. 21; no. 4; pp. 417 - 423
Main Authors:	Ltaief, H., Kurzak, J., Dongarra, J.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Application software Architecture Bandwidth Bidiagonal reduction Computer programs Factorization Hardware Linear algebra Lists Matrix decomposition Multicore processing multicores Preprocessing Reduction Singular value decomposition Software Software libraries Software performance tile algorithms
ISSN:	1045-9219, 1558-2183
Online Access:	Get full text
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