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Accelerating BST Methods for Model Reduction with Graphics Processors
dc.contributor.author | Benner, Peter | |
dc.contributor.author | Ezzatti, Pablo | |
dc.contributor.author | Quintana-Orti, Enrique S. | |
dc.contributor.author | Remón Gómez, Alfredo | |
dc.date.accessioned | 2013-04-18T11:00:27Z | |
dc.date.available | 2013-04-18T11:00:27Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Benner, Peter; Ezzatti, Pablo; Quintana-Ortí, Enrique S.; Remón, Alfredo " Accelerating BST Methods for Model Reduction with Graphics Processors". En: Parallel Processing and Applied Mathematics– 9th International Conference, PPAM 2011, Torun, Poland, September 11-14, 2011. Revised Selected Papers, Part I / Wyrzykowski, Roman [et al.] (Eds.). Berlin : Springer, 2012. (Lecture Notes in Computer Science; 7203) . ISBN 978-3-642-31463-6, pp. 549-558 | ca_CA |
dc.identifier.isbn | 978-3-642-31463-6 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | http://hdl.handle.net/10234/61505 | |
dc.description.abstract | Model order reduction of dynamical linear time-invariant system appears in many scientific and engineering applications. Numerically reliable SVD-based methods for this task require O(n3) floating-point arithmetic operations, with n being in the range 103 − 105 for many practical applications. In this paper we investigate the use of graphics processors (GPUs) to accelerate model reduction of large-scale linear systems via Balanced Stochastic Truncation, by off-loading the computationally intensive tasks to this device. Experiments on a hybrid platform consisting of state-of-the-art general-purpose multi-core processors and a GPU illustrate the potential of this approach. | ca_CA |
dc.format.extent | 10 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Springer Berlin Heidelberg | ca_CA |
dc.relation.isPartOfSeries | Lecture Notes in Computer Science;7203 | |
dc.rights | © Springer, Part of Springer Science+Business Media | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | Model reduction | ca_CA |
dc.subject | Linear dynamical systems | ca_CA |
dc.subject | Lyapunov equations | ca_CA |
dc.subject | SVD-based methods | ca_CA |
dc.subject | GPUs | ca_CA |
dc.title | Accelerating BST Methods for Model Reduction with Graphics Processors | ca_CA |
dc.type | info:eu-repo/semantics/bookPart | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1007/978-3-642-31464-3_56 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | http://link.springer.com/chapter/10.1007/978-3-642-31464-3_56 | ca_CA |