Sourcebook of Parallel Computing (Hardcover)

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.

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