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Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers
 
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Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers (Paperback)

by Barry Wilkinson (Author), Michael Allen (Author)
3.0 out of 5 stars See all reviews (2 customer reviews)

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Product details

  • Paperback: 496 pages
  • Publisher: Pearson Education; 2 edition (17 May 2004)
  • Language English
  • ISBN-10: 0131918656
  • ISBN-13: 978-0131918658
  • Product Dimensions: 23 x 17.8 x 2.6 cm
  • Average Customer Review: 3.0 out of 5 stars See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 586,704 in Books (See Bestsellers in Books)

    Popular in these categories:

    #20 in  Books > Computing & Internet > Computer Science > Architecture & Microprocessors > Microprocessors > Parallel Processing & Computing
    #65 in  Books > Computing & Internet > Certification > Subjects > Microsoft
  • See Complete Table of Contents

Product Description

Product Description

Designed for undergraduate/graduate-level parallel programming courses.

This nontheoretical, highly accessible text—which is linked to real parallel programming software—covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead only on parallel programs that can be executed on networked workstations using freely available parallel software tools. The Second Edition has been revised to incorporate a greater focus on cluster programming as this type of programming has become more widespread with the availability of low-cost computers.



From the Back Cover


67171-9

Designed for an undergraduate computer science student or professional, this accessible text covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on networked workstations using freely available parallel software tools.

Key Features:

  • Introduces parallel programming techniques as a natural extension to sequential programming, developing the basic techniques of message-passing parallel programming, and then studying problem-specific algorithms in both non-numeric and numeric domains.
  • Requires no prerequisite in parallel programming; assumes only C programming knowledge.
  • Uses MPI and PVM pseudocodes to describe algorithms and allows different programming tools to be implemented.
  • Provides students with thorough coverage of shared memory programming and Pthreads to assist them in shared memory programming assignments.
  • Explores such applications as numerical algorithms, image processing, searching, and optimization.

--This text refers to an out of print or unavailable edition of this title.

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2 Reviews
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Average Customer Review
3.0 out of 5 stars (2 customer reviews)
 
 
 
 
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2 of 3 people found the following review helpful:
5.0 out of 5 stars Another QMW student, 4 Jul 2003
Contrary to what my fellow QMW student's review states, I must say that I found the book extremely useful. If you are taking parallel computing then you will find that this book comprehensively covers all the lecture material. The lectures for the course are extremely boring, and essentially present the material in the book as a summary. Thus if you purchase this book and read it from cover to cover, you can get away with not attending lectures, as I found. If you have doubts about taking this course then let me put your mind at rest. I took this course rather apprehensively and throughout the course I understood very little about parallel computing. However, thanks to this book and past exam papers i was able to prepare near perfect exam answers. This culminated in me achieving 86% in the final exam. To this day i can honestly say i know very little about parallel computing. I think my result therefor is a testament to the quality of this book. You would be a fool not to buy this book if you are a QMW student, and an even bigger fool if you choose not to take the Parallel Computing course!
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2 of 4 people found the following review helpful:
1.0 out of 5 stars difficult to read and lots of text on irrelevent topics, 29 Jul 2002
"Irrelevent topics" maybe a little misleading. I find that this book did try to make an attempt at explaining some of the basis for parallel programming, but it used so many complex analogies that you ended up reading pages of it instead of what the analogy is trying to represent. These analogies come to haunt you later in the book too - so you can never use the book as a reference. Chapter 7 will use analogies from chapters 1 to 6.

Lots of reading involved when at the end you dont know much about parallel programming, instead lots of analogies.

The book is aimed students, so if you are a student and this book is the main book of the course - dont take that course.

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