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| THE SOURCEBOOK OF PARALLEL COMPUTING
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To order this title, and for more information, click here
Edited By
Jack Dongarra, University of Tennessee
Ian Foster, Argonne National Laboratory
Geoffrey Fox, Indiana University
William Gropp, Argonne National Laboratory
Ken Kennedy, Rice University
Linda Torczon, Rice University, Houston, Texas
Andy White, Los Alamos National Laboratory
Description
Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing
power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines
remains heavy. The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility
for achieving the vision of scalable parallelism remains in the hands of the application developer.
This book represents the collected
knowledge and experience of over 60 leading parallel computing researchers. They offer students, scientists and engineers a complete
sourcebook with solid coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies,
as well as several parallel application case studies. The Sourcebook of Parallel Computing offers extensive tutorials and detailed documentation
of the advanced strategies produced by research over the last two decades
application case studies. The Sourcebook of Parallel Computing
offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades
Contents
I. Parallelism
1. Introduction
2. Parallel Computer Architectures
3. Parallel Programming Considerations
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
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
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
V. Conclusion
25. Wrap-up
and Features
| Bibliographic details |
Hardbound, 842 pages, publication date: NOV-2002
ISBN-13: 978-1-55860-871-9
ISBN-10: 1-55860-871-0
Imprint: MORGAN KAUFMANN
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| Price and Ordering |
Price:
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GBP 51.99
USD 84.95
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Last update: 31 Jan 2010
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