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The Sourcebook of Parallel Computing
Jack Dongarra (Edited by), Ian Foster (Edited by), Geoffrey C. Fox (Edited by), William Gropp (Edited by), Ken Kennedy (Edited by), Linda Torczon (Edited by), Andy White (Edited by)
9781558608719, Elsevier Science
Hardback, published 24 November 2002
864 pages
23.4 x 18.6 x 4.3 cm, 1.63 kg
"Sourcebook of Parallel Computing is an indispensable reference for parallel-computing consultants, scientists, and researchers, and a valuable addition to any computer science library." --Distributed Systems Online
"The Sourcebook for Parallel Computing gives a thorough introduction to parallel applications, software technologies, enabling technologies, and algorithms. This is a great book that I highly recommend to anyone interested in a comprehensive and thoughtful treatment of the most important issues in parallel computing." --Horst Simon, Director, Director, NERSC, Berkeley
"The Sourcebook builds on the important work done at the Center for Research on Parallel Computation and within the academic community for over a decade. It is a definitive text on Parallel Computing and should be a key reference for students, researchers and practitioners in the field." --Francine Berman, Director, San Diego Supercomputer Center and the National Partnership for Advanced Computational Infrastructure
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
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
Subject Areas: Parallel processing [UYFP], Distributed systems [UTR], Grid & parallel computing [UKG]
