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Item Details
Title:
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STRUCTURED PARALLEL PROGRAMMING
PATTERNS FOR EFFICIENT COMPUTATION |
By: |
Michael McCool, James Reinders, Arch Robison |
Format: |
Paperback |

List price:
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£46.99 |
We currently do not stock this item, please contact the publisher directly for
further information.
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ISBN 10: |
0124159931 |
ISBN 13: |
9780124159938 |
Publisher: |
ELSEVIER SCIENCE & TECHNOLOGY |
Pub. date: |
25 June, 2012 |
Pages: |
432 |
Description: |
Programming is now parallel programming. This title describes how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. It includes examples from realistic contexts that illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. |
Synopsis: |
Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed concrete examples using multiple programming models. The examples in this book are presented using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. Software developers, computer programmers, and software architects will find this book extremely helpful. |
Publication: |
US |
Imprint: |
Morgan Kaufmann Publishers In |
Prizes: |
Winner of Intel Recommended Reading List for Developers, 2nd Half 2013 -
Winner of Intel Recommended Reading List for Developers, 1st Half 2014 - |
Returns: |
Returnable |
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