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    An Introduction to Parallel Programming

    An Introduction to Parallel Programming by Pacheco, Peter;

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      • Publisher's listprice EUR 66.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        26 150 Ft (24 905 Ft + 5% VAT)
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      • Discounted price 23 535 Ft (22 415 Ft + 5% VAT)

    26 150 Ft

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    Out of print

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Elsevier Science
    • Date of Publication 17 February 2011

    • ISBN 9780123742605
    • Binding Hardback
    • No. of pages392 pages
    • Size 234x190 mm
    • Weight 1020 g
    • Language English
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    Long description:

    An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing.

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    Table of Contents:

    1. Why Parallel Computing2. Parallel Hardware and Parallel Software3. Distributed Memory Programming with MPI4. Shared Memory Programming with Pthreads5. Shared Memory Programming with OpenMP6. Parallel Program Development7. Where to Go from Here

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