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The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design)
 
 
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The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) [Hardcover]

Jack Dongarra , Ian Foster , Geoffrey C. Fox , William Gropp , Ken Kennedy , Linda Torczon , Andy White

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Review

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

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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
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

* 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


Inside This Book (Learn More)
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Parallel computing is more than just a strategy for achieving high performance-it is a compelling vision for how computation can seamlessly scale from a single processor to virtually limitless computing power. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Amazon.com: 5.0 out of 5 stars (1 customer review)

9 of 27 people found the following review helpful:
5.0 out of 5 stars Parallel Computing - An inside out by Jack Dongarra!, 6 Jan 2004
By amazingoffers - Published on Amazon.com
This review is from: The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) (Hardcover)
...This book 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. The Sourcebook for Parallel Computing gives a thorough introduction to parallel applications, software technologies, enabling technologies, and algorithms. I highly recommend this great book to anyone
interested in a comprehensive and thoughtful treatment of the most important issues in parallel computing. The Features & Benefits of this book includes...but not limited to 1) Providing a solid background in parallel computing technologies 2) Examining the technologies available and teaches students and practitioners how to select and apply them 3) Presenting case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake and 4) Considering the future development of parallel computing technologies and the kinds of applications they will support. Worth buying this book, your money is invested!
 Go to Amazon U.S. to see the review  5.0 out of 5 stars 
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