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