Parallel Computing on Heterogeneous Clusters [Hardcover]

Alexey L. Lastovetsky (Author)

Book Description

ISBN-10: 0471229822 | ISBN-13: 978-0471229827 | Publication Date: August 11, 2003 | Edition: 1

• New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture
• Provides a detailed introduction to parallel computing on heterogenous clusters
• All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster
• The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction

Editorial Reviews

Review

"If you're looking for solutions for numerical programming on networks of computers, then…[this] is the book for you…one of the book's greatest strengths is its simplicity…moves smoothly from one topic to the next." (IEEE Distributed Systems Online, November 2004)

From the Back Cover

A timely reference on new approaches to parallel computing

Traditional software for parallel computing typically spreads computations evenly over a set of linked processors. This, however, may not always be the best way of maximizing the performance of a given network or cluster of computers. By taking account of the actual performance of individual processors and the links between them, parallel computing on heterogeneous networks offers significant improvements in parallel computation. Alexey Lastovetsky’s Parallel Computing on Heterogeneous Networks provides a timely resource on this innovative technology.

This forward-looking text begins with a general introduction to parallel computing, then progresses to the specifics of parallel computing with heterogeneous networks. Practically oriented, the book includes illustrative algorithms in the mpC programming language, a unique high-level software tool designed by the author specifically for programming heterogeneous parallel algorithms. All concepts and algorithms are illustrated with working programs that can be compiled or executed on any cluster.

Some of the practical applications of these algorithms include:

• The N-body problem
• The parallel testing of distributed software
• The modeling of oil extraction

All of the contents are also illustrated by carefully tested source code, allowing readers to play with the presented software tools and algorithms–particularly with the mpC programming language–while reading the book. Appendices provide both the complete source code and user’s guide for the principal applications used to illustrate the book’s material. Parallel Computing on Heterogeneous Networks proves a superior reference for researchers and graduate students in computer science.

See all Editorial Reviews

Product Details

• Hardcover: 350 pages
• Publisher: Wiley-Interscience; 1 edition (August 11, 2003)
• Language: English
• ISBN-10: 0471229822
• ISBN-13: 978-0471229827
• Product Dimensions: 9.5 x 6.4 x 1 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #4,597,594 in Books (See Top 100 in Books)

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