Solving dense generalized eigenproblems on multi-threaded architectures
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Scholar |
Otros documentos de la autoría: Aliaga Estellés, José Ignacio; Bientinesi, Paolo; Davidovic, Davor; Di Napoli, Edoardo; Igual, Francisco; Quintana-Orti, Enrique S.
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http://dx.doi.org/10.1016/j.amc.2012.05.020 |
Metadatos
Título
Solving dense generalized eigenproblems on multi-threaded architecturesAutoría
Fecha de publicación
2012-07Editor
ElsevierTipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S009630031200505XPalabras clave / Materias
Resumen
We compare two approaches to compute a fraction of the spectrum of dense symmetric
definite generalized eigenproblems: one is based on the reduction to tridiagonal form,
and the other on the Krylov-subspace iteration. ... [+]
We compare two approaches to compute a fraction of the spectrum of dense symmetric
definite generalized eigenproblems: one is based on the reduction to tridiagonal form,
and the other on the Krylov-subspace iteration. Two large-scale applications, arising in
molecular dynamics and material science, are employed to investigate the contributions
of the application, architecture, and parallelism of the method to the performance of the
solvers. The experimental results on a state-of-the-art 8-core platform, equipped with a
graphics processing unit (GPU), reveal that in realistic applications, iterative Krylovsubspace
methods can be a competitive approach also for the solution of dense problems. [-]
Publicado en
Applied Mathematics and Computation, v. 218, issue 22 (July 2012)Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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