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The Art of Concurrency: A Thread Monkey's Guide to Writing Parallel Applications


The Art of Concurrency: A Thread Monkey's Guide to Writing Parallel Applications Cover


Synopses & Reviews

Publisher Comments:

If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from serial to parallel code, along with advice and analysis for avoiding mistakes that programmers typically make when first attempting these computations.

Written by an Intel engineer with over two decades of parallel and concurrent programming experience, this book will help you:

  • Understand parallelism and concurrency
  • Explore differences between programming for shared-memory and distributed-memory
  • Learn guidelines for designing multithreaded applications, including testing and tuning
  • Discover how to make best use of different threading libraries, including Windows threads, POSIX threads, OpenMP, and Intel Threading Building Blocks
  • Explore how to implement concurrent algorithms that involve sorting, searching, graphs, and other practical computations

The Art of Concurrency shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming, this book is a must.

Book News Annotation:

Breshears is a course architect for Intel Corporation, and he provides programmers with this practical guide for implementing algorithms in the shared-memory model of multicore processors. The author combines detailed descriptions with usable samples to describe the process of transforming algorithms from series to parallel codes and to outline the differences between shared and distributed memory. The proper implementation of threading libraries for Windows, POSIX, OpenMP and Intel Threading Building Blocks is also explained. Annotation ©2009 Book News, Inc., Portland, OR (


This practical book gives programmers exactly what they need to develop applications that support concurrency--the execution of several tasks simultaneously.

About the Author

Clay Breshears has been with Intel since September 2000. He started as a Senior Parallel Application Engineer at the Intel Parallel Applications Center in Champaign, IL, implementing multithreaded and distributed solutions in customer applications. Clay is currently a Course Architect for the Intel Software College, specializing in multi-core and multithreaded programming and training. Before joining Intel, Clay was a Research Scientist at Rice University helping Department of Defense researchers make best use ofthe latest High Performance Computing (HPC) platforms and resources.

Clay received his Ph.D. in Computer Science from the University of Tennessee, Knoxville, in 1996, but has been involved with parallel computation and programming for over twenty years; six of those years were spent in academia at Eastern Washington University and The University of Southern Mississippi.

Table of Contents

PrefaceChapter 1: Want to Go Faster? Raise Your Hands if You Want to Go Faster!Chapter 2: Concurrent or Not Concurrent?Chapter 3: Proving Correctness and Measuring PerformanceChapter 4: Eight Simple Rules for Designing Multithreaded ApplicationsChapter 5: Threading LibrariesChapter 6: Parallel Sum and Prefix ScanChapter 7: MapReduceChapter 8: SortingChapter 9: SearchingChapter 10: Graph AlgorithmsChapter 11: Threading ToolsGlossaryPhoto CreditsColophon

Product Details

Breshears, Clay
O'Reilly Media
Programming - Parallel Programming
Programming - Software Development
Software Development & Engineering - General
Programming / Parallel
Software Engineering - Programming and Languages
CourseSmart Subject Description
Edition Description:
Print PDF
Publication Date:
9.19 x 7 x 0.76 in 1.2 lb

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The Art of Concurrency: A Thread Monkey's Guide to Writing Parallel Applications Used Trade Paper
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Product details 304 pages O'Reilly Media - English 9780596521530 Reviews:
"Synopsis" by ,
This practical book gives programmers exactly what they need to develop applications that support concurrency--the execution of several tasks simultaneously.
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