| High Performance Computing for Computational Science - Vecpar 2008: 8th International Conference, Toulouse, France, June 24-27, 2008. Revised Selected 2008 Edition Contributor(s): Palma, José M. Laginha M. (Editor), Amestoy, Patrick (Editor), Dayde, Michel (Editor) |
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ISBN: 3540928588 ISBN-13: 9783540928584 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: December 2008 Annotation: This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008. The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics, computing for aerospace and engineering, and high-performance data management in grid environments. |
| Additional Information |
| BISAC Categories: - Computers | Software Development & Engineering - General - Computers | Computer Science - Computers | Networking - Hardware |
| Dewey: 004.35 |
| Series: Lecture Notes in Computer Science / Theoretical Computer Sci |
| Physical Information: 1.4" H x 6.1" W x 9.3" (2.00 lbs) 596 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008. The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics, computing for aerospace and engineering, and high-performance data management in grid environments. |