The Sourcebook of Parallel Computing (BOK)

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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. It provides a solid background in parallel computing technologies. It examines the technologies available and teaches students and practitioners how to select and apply them. It presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation. It considers the future development of parallel computing technologies and the kinds of applications they will support.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2002 Forlag
Elsevier Science & Technology
ISBN 9781558608719 Antall sider 842
Dimensjoner 18,7cm x 23,5cm x 4,4cm Vekt 1640 gram
Andre medvirkende Andy White, Geoffrey C. Fox, Ian Foster, Jack Dongarra, Ken Kennedy, Linda Torczon, William Gropp Emner og form Parallel processing

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