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Parallel Programming in C with MPI and OpenMP Paperback – 2003


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Product details

  • Paperback: 544 pages
  • Publisher: McGraw-Hill; 1st edition (2003)
  • Language: English
  • ISBN-10: 0070582017
  • ISBN-13: 978-0070582019
  • Product Dimensions: 47 x 5.1 x 61 cm
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 752,277 in Books (See Top 100 in Books)

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Product Description

The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book, Parallel Programming in C with MPI and OpenMP addresses the needs of students and professionals who want to learn how to design, analyze, implement, and benchmark parallel programs in C using MPI and/or OpenMP. It introduces a rock-solid design methodology with coverage of the most important MPI functions and OpenMP directives. It also demonstrates, through a wide range of examples, how to develop parallel programs that will execute efficiently on today's parallel platforms. Contents same as US/UK editions.

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Format: Paperback
Quinn maintains a concise style throughout the book with plenty of diagrams; he covers in surprising detail the foundations of the current state of the art and good section on the history of this field. I wouldn't recommend this book for an experienced HPC engineer, but if you are looking for an intermediate to advanced level text on parallel programming then this is the book. The coverage of OpenMPI is good and whilst the OpenMP coverage is a bit short, it's not really the OpenMP lexemes that are important but the architecture in which they are used.
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1 of 5 people found the following review helpful By M. Bane on 5 Oct. 2009
Format: Paperback
Primarily about MPI-1 (there's no MPI-2 and little OpenMP), introducing the MPI library via heavy use of examples. Also has thorough "benchmarking" for each example where the theoretical cost of communications (etc) is used to derive improved implementations. Foster's "partitioning -- communication -- agglomeration -- mapping" methodology is explained and used frequently. Other useful underlying theory of parallel programming (eg speedup, Amdadl's Law, Flynn's taxonomy) is covered. Probably as useful to dip in to when needing to write an MPI implementation of one of the covered test cases as it is for learning MPI from scratch. OpenMP is not mentioned until the penultimate chapter and only then as a whizz through the API before a final chapter sketching how to write MPI-OpenMP hybrid codes.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 10 reviews
12 of 12 people found the following review helpful
A good introductory book 7 April 2004
By A Customer - Published on Amazon.com
Format: Hardcover
I used this book in my parallel computing course. It is really a good introductory book on parallel programming. Some examples are given in the book. The first seven chapters discuss parallel algorithm design, MPI, examples on The sieve of Eratosthenes and Floyd's algorithm, and performance analysis. Some other topics that also covered (some of these may or may not have working examples) include the matrix-vector multiplication, Monte Carlo, matrix multiplication, solving linear systems, sorting, FFT, search, and finite difference methods. Since there are so many topics to be covered in a book of only 500 pages, the discussions on most of these topics are not very depth. Overall, I still recommend this book for beginners in parallel algorithm design.
8 of 9 people found the following review helpful
Very clear writing and good solid information 25 Jun. 2005
By Mark Meyer - Published on Amazon.com
Format: Hardcover
The thing that impressed me was that the writing was so clear. True, the sentences tend to be short, but that is high virtue in technical writing. My students have been very positive about the book.

I also think the mathematical analysis is good, too, not too easy but not super hard either.

This book just pulls together all the crucial information between two covers. I find myself agreeing almost exactly with where he places his "key" symbols in the margins to highlight important sentences, which is also a good sign that the book is "right on."
1 of 1 people found the following review helpful
What it does, it does well 24 Jan. 2009
By M. Richards - Published on Amazon.com
Format: Paperback
I used this as a textbook for a parallel programming course in 2005. The author goes into a fair amount of detail about a number of different algorithms (e.g., fast fourier transforms, differential equations, sorting, alpha-beta pruning) rather than focusing exclusively on parallel programming constructs. I consider this a feature; the algorithms serve as good motivation and illustrations of the parallel programming concepts that are presented.

The summaries of the MPI commands in the appendix are as good as anything I've found on the web.

The book also gives detailed examples (code) of how to do mundane things like distributing the contents of a file across distributed memory processors and using your random number generator in such a way as to guarantee that your program produces the same results irrespective of the number of processors it runs on.
7 of 10 people found the following review helpful
Probably not worth the money 16 Mar. 2008
By Lance C. Hibbeler - Published on Amazon.com
Format: Paperback
Well, to begin with, for a book that has "...programming in C..." in the title, there is very little C code in the text-- most is pseudocode. Most of the book is an analysis of various parallel algorithms, with very little instruction on how to use MPI. There are much better resources out there for learning MPI, as Quinn only covers about 30 of the over 100 functions in MPI, without all that much detail. Some of extremely important and necessary concepts of parallel programming are only mentioned in passing...such as load balancing. Most of the applications (with the exception of matrix operations) are simple and basic to the point of making me wonder why you would even bother parallelizing them...even as a pedagogical tool. The book does a very good job of analyzing algorithms, but calling it an "introduction to MPI" or even an "introduction to parallel programming" textbook is incorrect.
Great conceptual introduction 24 Jan. 2013
By Victor Eijkhout - Published on Amazon.com
Format: Paperback
There are many books about parallel programming, most of which only give toy examples to illustrate language constructs or library calls. This book is unusual in that it gives larger examples, fully worked out, with extensive discussion of algorithm design decisions. The examples are non-trivial and clearly discussed.

Thus, this is a great introduction to parallel programming. To me it does not matter much that it doesn't cover the whole MPI standard, since many MPI calls are minor variants. With this book as an introduction and the language standard for MPI / OpenMP for reference a student should be set for a productive career in parallel programming.
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