Sourcebook of Parallel Computing
Ian Foster, William Gropp, Ken Kennedy, Andrew White, Jack Dongarra, Geoffrey Fox, Linda Torczon
Résumé
The Sourcebook of Parallel Computing provides a broad overview to parallel computers and parallel computing by first examining the architecture of modern parallel computer systems and identifying key considerations for programming them. Through specific application studies, the authors demonstrate how to identify appropriate software and algorithms and the significant implementation issues.
- Provides a solid background in parallel computing technologies
- Examines the technologies available and teaches students and practitioners how to select and apply them
- Presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation
- Considers the future development of parallel computing technologies and the kinds of applications they will support
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I. Parallelism
- 1. Introduction
- 2. Parallel Computer Architectures
- 3. Parallel Programming Considerations
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II. Applications
- 4. General Application Issues
- 5. Parallel Computing in CFD
- 6. Parallel Computing in Environment and Energy
- 7. Parallel Computational Chemistry
- 8. Application Overviews
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III. Software technologies
- 9. Software Technologies
- 10. Message Passing and Threads
- 11. Parallel I/O
- 12. Languages and Compilers
- 13. Parallel Object-Oriented Libraries
- 14. Problem-Solving Environments
- 15. Tools for Performance Tuning and Debugging
- 16. The 2-D Poisson Problem
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IV. Enabling Technologies and Algorithms
- 17. Reusable Software and Algorithms
- 18. Graph Partitioning for Scientific Simulations
- 19. Mesh Generation
- 20. Templates and Numerical Linear Algebra
- 21. Software for the Scalable Solutions of PDEs
- 22. Parallel Continuous Optimization
- 23. Path Following in Scientific Computing
- 24. Automatic Differentiation
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V. Conclusion
- 25. Wrap-up and Features
L'auteur - Ian Foster
Ian Foster is Senior Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, where he also leads the Distributed Systems Laboratory, and Associate Professor of Computer Science at the University of Chicago. His research concerns techniques, tools, and algorithms for high-performance distributed computing, parallel computing, and computational science. Foster led the research and development of software for the I-WAY wide-area distributed computing experiment, which connected supercomputers, databases, and other high-end resources at 17 sites across North America (a live experiment at the Supercomputing conference of 1995).
L'auteur - William Gropp
William Gropp is Senior Computer Scientist, Mathematics and Computer Science Division, Argonne National Laboratory.
L'auteur - Linda Torczon
Linda Torczon is a principal investigator on the Massively Scalar Compiler Project at Rice University, and the Grid Application Development Software Project sponsored by the next Generation Software program of the National Science Foundation. She also serves as the executive director of HiPerSoft and of the Los Alamos Computer Science Institute. Her research interests include code generation, interprocedural dataflow analysis and optimization, and programming environments.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Morgan Kaufmann |
| Auteur(s) | Ian Foster, William Gropp, Ken Kennedy, Andrew White, Jack Dongarra, Geoffrey Fox, Linda Torczon |
| Parution | 13/03/2003 |
| Nb. de pages | 842 |
| Format | 19 x 24 |
| Couverture | Relié |
| Poids | 1650g |
| Intérieur | Noir et Blanc |
| EAN13 | 9781558608719 |
| ISBN13 | 978-1-55860-871-9 |
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