High Performance Computing for Computational Science -- VECPAR 2014 [electronic resource] : 11th International Conference, Eugene, OR, USA, June 30 -- July 3, 2014, Revised Selected Papers / edited by Michel Dayd�e, Osni Marques, Kengo Nakajima.
Contributor(s): Dayd�e, Michel [editor.] | Marques, Osni [editor.] | Nakajima, Kengo [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 8969Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XVII, 311 p. 146 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319173535.Subject(s): Computer science | Arithmetic and logic units, Computer | Computer system failures | Software engineering | Computers | Computer science -- Mathematics | Computer simulation | Computer Science | Mathematics of Computing | Theory of Computation | Software Engineering/Programming and Operating Systems | Simulation and Modeling | System Performance and Evaluation | Arithmetic and Logic StructuresAdditional physical formats: Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access onlineAlgorithms for GPU and Many cores -- Large-Scale Applications -- Numerical Algorithms -- Direct/Hybrid Methods for Solving Sparse Matrices.-Performance Tuning -- The Ninth International Workshop on Automatic Performance Tuning.
This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014.  The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning.
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