Title: Parallel and Distributed Computation: Numerical Methods (Optimization and Neural Computation)
Publisher: Athena Scientific
Publication Date: 1997
Language: English
ISBN 10: 1886529019
ISBN 13: 9781886529014
Binding: Soft cover
Condition: good

About this title

Synopsis

This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. Among its special features, the book: 1) Quantifies the performance of parallel algorithms, including the limitations imposed by the communication and synchronization penalties. 2) Describes communication algorithms for a variety of system architectures including tree, mesh, and hypercube. 3) Provides a comprehensive convergence analysis of asynchronous methods and a comparison with their asynchronous counterparts. 4) Cove

About the Author

The authors are Professors of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and are members of the National Academy of Engineering.

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