Sourcebook of parallel computing

By: Contributor(s): Material type: TextTextPublication details: San Francisco : Morgan Kaufmann, c2003Edition: 1st edDescription: xvi, 842 p. : il. ; 25 cmISBN:
  • 9781558608719
Subject(s):
Contents:
Preface -- I. Parallelism -- 1. Introduction -- 2. Parallel Computer Architectures -- 3. Parallel Programming Considerations -- II. Applications -- 4. General Application Issues -- 5. Parallel Computing in Computational Fluid Dynamics -- 6. Parallel Computing in Environment and Energy -- 7. Parallel Computational Chemistry: an overview of NWChem -- 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 High-Performance Scientific Simulations -- 19. Mesh Generation -- 20. Templates and Numerical Linear Algebra -- 21. Software for the Scalable Solutions of Partial Differential Equations -- 22. Parallel Continuous Optimization -- 23. Path Following in Scientific Computing and its Implementation in Auto -- 24. Automatic Differentiation -- V. Conclusion -- 25. Wrap-up and Signposts to the Future
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Libros Libros Biblioteca Fac.Informática C.1.4 SOU (Browse shelf(Opens below)) Available DIF-04225

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Preface -- I. Parallelism -- 1. Introduction -- 2. Parallel Computer Architectures -- 3. Parallel Programming Considerations -- II. Applications -- 4. General Application Issues -- 5. Parallel Computing in Computational Fluid Dynamics -- 6. Parallel Computing in Environment and Energy -- 7. Parallel Computational Chemistry: an overview of NWChem -- 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 High-Performance Scientific Simulations -- 19. Mesh Generation -- 20. Templates and Numerical Linear Algebra -- 21. Software for the Scalable Solutions of Partial Differential Equations -- 22. Parallel Continuous Optimization -- 23. Path Following in Scientific Computing and its Implementation in Auto -- 24. Automatic Differentiation -- V. Conclusion -- 25. Wrap-up and Signposts to the Future

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