| 청구기호 |
QA76.58 |
| 형태사항 |
422 p.
|
| 총서명 |
Software, Environments, and Tools 20
|
| 언어 |
English |
| 내용 |
Parallel Processing for Scientific Computing -- List of Contributors -- Contents -- 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 for Emerging Parallel Applications and Architectures -- Chapter 7 Combinatorial Parallel and Scientific Computing -- Chapter 8 Parallel Adaptive Mesh Refinement -- Chapter 9 Parallel Sparse Solvers, Preconditioned, 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: Algorithms and Applications -- 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
|
| 주제 |
Parallel processing (Electronic computers)
|
| ISBN |
0898716195
, 9780898716191
|
| QR CODE |
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