Handbook On Parallel And Distributed Processing


Handbook On Parallel And Distributed Processing pdf

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Handbook on Parallel and Distributed Processing


Handbook on Parallel and Distributed Processing

Author: Jacek Blazewicz

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-03-09


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In this volume authors of academia and practice provide practitioners, scientists and graduate students with a good overview of basic methods and paradigms, as well as important issues and trends across the broad spectrum of parallel and distributed processing. In particular, the book covers fundamental topics such as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, and networking aspects of distributed and parallel computing. Three chapters are dedicated to applications: parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems. Summing up, the Handbook is indispensable for academics and professionals who are interested in learning the leading expert`s view of the topic.

Parallel and Distributed Computing Handbook


Parallel and Distributed Computing Handbook

Author: Albert Y. Zomaya

language: en

Publisher: McGraw Hill Professional

Release Date: 1996


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With over 1,000 pages and a wealth of illustrations and data tables, this handbook offers readers the first information source with the scope to encompass the parallel and distributed computing revolution. Written by an international team of experts, the book summarizes the current state of the art, interprets the most promising trends, and spotlights commercial applications.

Handbook of Parallel Computing


Handbook of Parallel Computing

Author: Sanguthevar Rajasekaran

language: en

Publisher: CRC Press

Release Date: 2007-12-20


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The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a