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Produktbild: The Sourcebook of Parallel Computing
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The Sourcebook of Parallel Computing

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

11.11.2002

Herausgeber

Jack Dongarra + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

864

Maße (L/B/H)

24,2/19,5/4,5 cm

Gewicht

1630 g

Sprache

Englisch

ISBN

978-1-55860-871-9

Beschreibung

Rezension

"Sourcebook of Parallel Computing is an indispensable reference for parallel-computing consultants, scientists, and researchers, and a valuable addition to any computer science library." --Distributed Systems Online
"The Sourcebook for Parallel Computing gives a thorough introduction to parallel applications, software technologies, enabling technologies, and algorithms. This is a great book that I highly recommend to anyone interested in a comprehensive and thoughtful treatment of the most important issues in parallel computing." --Horst Simon, Director, Director, NERSC, Berkeley
"The Sourcebook builds on the important work done at the Center for Research on Parallel Computation and within the academic community for over a decade. It is a definitive text on Parallel Computing and should be a key reference for students, researchers and practitioners in the field." --Francine Berman, Director, San Diego Supercomputer Center and the National Partnership for Advanced Computational Infrastructure

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

11.11.2002

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

864

Maße (L/B/H)

24,2/19,5/4,5 cm

Gewicht

1630 g

Sprache

Englisch

ISBN

978-1-55860-871-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: The Sourcebook of Parallel Computing
  • I. Parallelism
    1. Introduction
    2. Parallel Computer Architectures
    3. Parallel Programming Considerations

    II. Applications
    4. General Application Issues
    5. Parallel Computing in CFD
    6. Parallel Computing in Environment and Energy
    7. Parallel Computational Chemistry
    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 Scientific Simulations
    19. Mesh Generation
    20. Templates and Numerical Linear Algebra
    21. Software for the Scalable Solutions of PDEs
    22. Parallel Continuous Optimization
    23. Path Following in Scientific Computing
    24. Automatic Differentiation

    V. Conclusion
    25. Wrap-up and Features