Parallel Processing for Scientific Computing

List of Figures; List of Tables; Preface; 1. Frontiers of Scientific Computing. An Overview; Part I. Performance Modeling, Analysis and Optimization; 2. Performance Analysis. From Art to Science; 3. Approaches to Architecture-Aware Parallel Scientific Computation; 4. Achieving High Performance on the BlueGene/L Supercomputer; 5. Performance Evaluation and Modeling of Ultra-Scale Systems; Part II. Parallel Algorithms and Enabling Technologies; 6. Partitioning and Load Balancing; 7. Combinatorial Parallel and Scientific Computing; 8. Parallel Adaptive Mesh Refinement; 9. Parallel Sparse Solvers, Preconditioners, and Their Applications; 10. A Survey of Parallelization Techniques for Multigrid Solvers; 11. Fault Tolerance in Large-Scale Scientific Computing; Part III. Tools and Frameworks for Parallel Applications; 12. Parallel Tools and Environments. A Survey; 13. Parallel Linear Algebra Software; 14. High-Performance Component Software Systems; 15. Integrating Component-Based Scientific Computing Software; Part IV. Applications of Parallel Computing; 16. Parallel Algorithms for PDE-Constrained Optimization; 17. Massively Parallel Mixed-Integer Programming; 18. Parallel Methods and Software for Multicomponent Simulations; 19. Parallel Computational Biology; 20. Opportunities and Challenges for Parallel Computing in Science and Engineering; Index.