An Introduction to Distributed and Parallel Processing

An Introduction to Distributed and Parallel Processing
Author: John A. Sharp
Publisher: Wiley-Blackwell
Total Pages: 192
Release: 1987
Genre: Computers
ISBN:


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This book is an introduction to the highly topical areas of distributed and parallel processing, and will be of value to computer science undergraduates, students of electrical engineering, electronics and microprocessors, and non-specialist professionals working in related areas.


An Introduction to Distributed and Parallel Processing
Language: en
Pages: 192
Authors: John A. Sharp
Categories: Computers
Type: BOOK - Published: 1987 - Publisher: Wiley-Blackwell

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This book is an introduction to the highly topical areas of distributed and parallel processing, and will be of value to computer science undergraduates, studen
An Introduction to Distributed and Parallel Computing
Language: en
Pages: 256
Authors: Joel M. Crichlow
Categories: Computers
Type: BOOK - Published: 1997 - Publisher:

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This book provides a comprehensive overview of both the hardware and software issues involved in designing state-of-the-art distributed and parallel computing s
Topics in Parallel and Distributed Computing
Language: en
Pages: 359
Authors: Sushil K Prasad
Categories: Computers
Type: BOOK - Published: 2015-09-16 - Publisher: Morgan Kaufmann

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Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. Th
Introduction to Parallel Computing
Language: en
Pages: 263
Authors: Roman Trobec
Categories: Computers
Type: BOOK - Published: 2018-09-27 - Publisher: Springer

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Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing
Introduction to Parallel Programming
Language: en
Pages:
Authors: Subodh Kumar
Categories: Computers
Type: BOOK - Published: 2022-07-31 - Publisher: Cambridge University Press

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In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evide