Parallel Processing for Scientific Computing

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