Solving Matrix Equations on Multi-Core and Many-Core Architectures
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Otros documentos de la autoría: Benner, Peter; Ezzatti, Pablo; Mena, Hermann; Quintana-Orti, Enrique S.; Remón Gómez, Alfredo
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Título
Solving Matrix Equations on Multi-Core and Many-Core ArchitecturesAutoría
Fecha de publicación
2013-12Editor
MDPICita bibliográfica
Algorithms, v. 6, issue 4 (December 2013), p. 857-870Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.mdpi.com/1999-4893/6/4/857Palabras clave / Materias
Resumen
We 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 ... [+]
We 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. [-]
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info:eu-repo/semantics/openAccess
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