Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks

Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks

by Max Garzon
     
 

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This textbook provides an introduction to the fundamental models of massively parallel computation, the most important technique for high-performance computing. It presents a coherent exposition of analytic methods and results for the exploration and understanding of cellular automata and discrete neural networks as computational and dynamical systems.
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Overview

This textbook provides an introduction to the fundamental models of massively parallel computation, the most important technique for high-performance computing. It presents a coherent exposition of analytic methods and results for the exploration and understanding of cellular automata and discrete neural networks as computational and dynamical systems.
The book will be useful also as a reference manual to the scattered literature in the field. Each chapter includes a separate bibliography, as well as pointers to historically relevant papers, and gives exercise problems for the reader.

Product Details

ISBN-13:
9783642779077
Publisher:
Springer Berlin Heidelberg
Publication date:
02/12/2012
Series:
Texts in Theoretical Computer Science. An EATCS Series
Edition description:
Softcover reprint of the original 1st ed. 1995
Pages:
272
Product dimensions:
6.14(w) x 9.21(h) x 0.61(d)

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