Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures
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Other documents of the author: Bientinesi, Paolo; Igual, Francisco D.; Kressner, Daniel; Petschow, Matthias; Quintana-Orti, Enrique S.
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comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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http://dx.doi.org/10.102/cpe.1680 |
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Title
Condensed forms for the symmetric eigenvalue problem on multi-threaded architecturesAuthor (s)
Date
2011-11-10Publisher
WileyBibliographic citation
Concurrency and computational: practice and experience, 2011, May, n. 23 (7)Type
info:eu-repo/semantics/articleSubject
Abstract
We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the ... [+]
We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the symmetric eigenvalue problem, on general-purpose multi-core processors. In response to the advances of hardware accelerators, we also modify the code in the SBR toolbox to accelerate the computation by off-loading a significant part of the operations to a graphics processor (GPU). The performance results illustrate the parallelism and scalability of these algorithms on current high-performance multi-core and many-core architectures. Copyright �� 2010 John Wiley & Sons, Ltd. [-]
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