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Processor Networks and Aspects of the Mapping Problem (Cambridge International Series on Parallel Computation)
 
 
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Processor Networks and Aspects of the Mapping Problem (Cambridge International Series on Parallel Computation) [Hardcover]

Peter A. J. Hilbers (Author)

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Book Description

Cambridge International Series on Parallel Computation November 29, 1991
Processor networks consisting of a thousand and more processing nodes that interact by sending messages over a communications network are feasible today. They can only meet the market's demand for high-speed, low-cost computing when adequate facilities for the implementation of distributed programs--programs consisting of a collection of processes that communicate and synchronize via the exchange of messages--are offered. This book investigates some of these facilities by viewing both the processor network and the distributed program as a graph. Dr. Hilbers begins by introducing distributed computing with graph theory, and considers processor networks and their price/performance ratios. He goes on to look at obtaining homogeneous distributions of work over networks and considers examples. The author closes by discussing message routing within a processor network.

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Book Description

This 1991 book discusses the general case of how to use processors simultaneously in order to solve a single problem rather than any specific application, and develops a theory independent of particular architectures. It is intended to be a fundamental treatment of the relevant subjects and is aimed at computer scientists and graduate students.

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Inside This Book (learn more)
First Sentence:
There is and there always will be a demand for faster and bigger computers. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
braid graphs, braid operation, regular interconnection pattern, homogeneous mapping, bisection width, shortest path routing algorithm, processor network, wire density, complete binary tree, wormhole routing, implementation graph, graph embeddings, degree networks, computation graph, terminal vertex, lower latency, distributed algorithms
Key Phrases - Capitalized Phrases (CAPs): (learn more)
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