High Performance Computing for Computational Science – VECPAR 2010 [electronic resource] : 9th International conference, Berkeley, CA, USA, June 22-25, 2010, Revised Selected Papers / edited by José M. Laginha M. Palma, Michel Daydé, Osni Marques, João Correia Lopes.
By: Palma, José M. Laginha M [editor.].
Contributor(s): Daydé, Michel [editor.] | Marques, Osni [editor.] | Lopes, João Correia [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6449Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XIV, 470 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642193286.Subject(s): Computer science | Computer Communication Networks | Software engineering | Information theory | Computer Science | Software Engineering/Programming and Operating Systems | Theory of Computation | Computer Communication Networks | Mathematics of Computing | Computational Science and EngineeringDDC classification: 005.1 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on High Performance Computing for Computational Science, VECPAR 2010, held in Berkeley, CA, USA, in June 2010. The 34 revised full papers presented together with five invited contributions were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on linear algebra and solvers on emerging architectures, large-scale simulations, parallel and distributed computing, numerical algorithms.
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This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on High Performance Computing for Computational Science, VECPAR 2010, held in Berkeley, CA, USA, in June 2010. The 34 revised full papers presented together with five invited contributions were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on linear algebra and solvers on emerging architectures, large-scale simulations, parallel and distributed computing, numerical algorithms.
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