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dc.contributor.authorBenner, Peter
dc.contributor.authorEzzatti, Pablo
dc.contributor.authorMena, Hermann
dc.contributor.authorQuintana-Orti, Enrique S.
dc.contributor.authorRemón Gómez, Alfredo
dc.date.accessioned2014-03-04T11:58:02Z
dc.date.available2014-03-04T11:58:02Z
dc.date.issued2013-12
dc.identifier.citationAlgorithms, v. 6, issue 4 (December 2013), p. 857-870ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/85252
dc.description.abstractWe address the numerical solution of Lyapunov, algebraic and differential Riccati equations, via the matrix sign function, on platforms equipped with general-purpose multicore processors and, optionally, one or more graphics processing units (GPUs). In particular, we review the solvers for these equations, as well as the underlying methods, analyze their concurrency and scalability and provide details on their parallel implementation. Our experimental results show that this class of hardware provides sufficient computational power to tackle large-scale problems, which only a few years ago would have required a cluster of computers.ca_CA
dc.format.extent14 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Spain*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectControl theoryca_CA
dc.subjectLyapunov and Ricatti equationsca_CA
dc.subjectHigh performanceca_CA
dc.subjectMulticore processorsca_CA
dc.subjectGPUsca_CA
dc.subjectTeoría de controlca_CA
dc.subjectAlto rendimientoca_CA
dc.subjectProcesadores multinúcleoca_CA
dc.subjectEcuaciones de Lyapunov y Ricattica_CA
dc.titleSolving Matrix Equations on Multi-Core and Many-Core Architecturesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org10.3390/a6040857
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://www.mdpi.com/1999-4893/6/4/857ca_CA


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