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The Sourcebook of Parallel Computing

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Synopses & Reviews

Publisher Comments:

"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

Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy. The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility for achieving the vision of scalable parallelism remains in the hands of the application developer.

This book represents the collected knowledge and experience of over 60 leading parallel computing researchers. They offer students, scientists and engineers a complete sourcebook with solid coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. The Sourcebook of Parallel Computing offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades

Features:

  • Provides a solid background in parallel computing technologies

  • Examines the technologies available and teaches students and practitioners how to select and apply them

  • Presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation

  • Considers the future development of parallel computing technologies and the kinds of applications they will support

Synopsis:

of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation

  • Considers the future development of parallel computing technologies and the kinds of applications they will support

  • Synopsis:

    s the future development of parallel computing technologies and the kinds of applications they will support

    About the Author

    Jack Dongarra is a Professor of Computer Science at the University of Tennessee and Distinguished Scientist at Oak Ridge National Laboratory. He specializes in numerical algorithms in linear algebra, parallel computing, mathematical software development, use of advanced computer architectures, programming methodology, and tools for parallel computers.Ian Foster is Senior Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, where he also leads the Distributed Systems Laboratory, and Associate Professor of Computer Science at the University of Chicago. His research concerns techniques, tools, and algorithms for high-performance distributed computing, parallel computing, and computational science. Foster led the research and development of software for the I-WAY wide-area distributed computing experiment, which connected supercomputers, databases, and other high-end resources at 17 sites across North America (a live experiment at the Supercomputing conference of 1995).Geoffrey Fox is Professor of Computer Science, Informatics, and Physics at Indiana University, where he is also the Director of the Grid. He is currently focussing on earthquake science, and GRID technology to build electronic communities linking resources and people.William Gropp is a senior computer scientist and associate director of the Mathematics and Computer Science Division at Argonne National Lab. He is also a senior scientist in the Computer Science department at the University of Chicago and a senior fellow in the Argonne-University of Chicago Computation Institute. His research interests are in parallel computing, software for scientific computing, and numerical methods for partial differential equations. He has played a major role in the development of the MPI message-passing standard.p> Ken Kennedy is the Ann and John Doerr Professor of Computational Engineering and Director of the Center for High Performance Software Research (HiPerSoft) at Rice University. He is a fellow of the Institute of Electrical and Electronics Engineers, the Association for Computing Machinery, and the American Association for the Advancement of Science and has been a member of the National Academy of Engineering since 1990. From 1997 to 1999, he served as cochair of the President's Information Technology Advisory Committee (PITAC). For his leadership in producing the PITAC report on funding of information technology research, he received the Computing Research Association Distinguished Service Award (1999) and the RCI Seymour Cray HPCC Industry Recognition Award (1999).

    Professor Kennedy has published over 150 technical articles and supervised 34 Ph.D. dissertations on programming support software for high-performance computer systems. In recognition of his contributions to software for high-performance computation, he received the 1995 W. Wallace McDowell Award, the highest research award of the IEEE Computer Society. In 1999, he was named the third recipient of the ACM SIGPLAN Programming Languages Achievement Award.Linda Torczon is a principal investigator on the Massively Scalar Compiler Project at Rice University, and the Grid Application Development Software Project sponsored by the next Generation Software program of the National Science Foundation. She also serves as the executive director of HiPerSoft and of the Los Alamos Computer Science Institute. Her research interests include code generation, interprocedural dataflow analysis and optimization, and programming environments.Andy White is the Special Projects Director for the Weapons Physics Directorate at Los Alamos National Laboratory. This newLab oratory enterprise focuses on research issues in computer and computational sciences associated with employing the largest, most complex computational resources to address important national issues such as stockpile stewardship, energy and environment, systems biology, nanotechnology and crisis management.

    Los Alamos National Laboratory

    Table of Contents

    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

    Product Details

    ISBN:
    9781558608719
    Editor:
    Dongarra, Jack
    Editor:
    Torczon, Linda
    Editor:
    Dongarra, Jack
    Editor:
    Torczon, Linda
    Editor:
    Fox, Geoffrey
    Author:
    White, Torczon, Kennedy, Gropp, Fox, Foster, Dongarra, Jack, Ian, Geoffrey C., William, Ken, Linda, Andy
    Author:
    Dongarra, Jack
    Author:
    White, Torczon, Kennedy, Gropp, Fox, Foster, Dongarra, Jack, Ian, Geoffrey, William, Ken, Linda, Andy
    Editor:
    Fox, Geoffrey
    Publisher:
    Morgan Kaufmann Publishers
    Location:
    San Francisco, Calif.
    Subject:
    Programming - General
    Subject:
    Computer Architecture
    Subject:
    Parallel Processing
    Subject:
    Parallel processing (Electronic computers)
    Subject:
    Parallel computers
    Subject:
    Data Processing - Parallel Processing
    Subject:
    Computer Architecture - General
    Subject:
    Systems Architecture - General
    Subject:
    Systems Architecture - Distributed Systems &
    Subject:
    Software Engineering - Programming and Languages
    Edition Description:
    Includes bibliographical references and index.
    Series:
    The Morgan Kaufmann Series in Computer Architecture and Design
    Series Volume:
    107-406
    Publication Date:
    20021131
    Binding:
    HARDCOVER
    Language:
    English
    Illustrations:
    Yes
    Pages:
    842
    Dimensions:
    9.25 x 7.375 in

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    Related Subjects

    Children's » General
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    Computers and Internet » Software Engineering » Programming and Languages

    The Sourcebook of Parallel Computing New Hardcover
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    Product details 842 pages Morgan Kaufmann Publishers - English 9781558608719 Reviews:
    "Synopsis" by , of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation

  • Considers the future development of parallel computing technologies and the kinds of applications they will support

  • "Synopsis" by , s the future development of parallel computing technologies and the kinds of applications they will support
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