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  • Lectures on Parallel Computing

    Lectures on Parallel Computing by Träff, Jesper Larsson;

    Series: Lecture Notes in Computer Science; 14600;

      • GET 12% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 70.61
      • 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.

        29 804 Ft (28 385 Ft + 5% VAT)
      • Discount 12% (cc. 3 576 Ft off)
      • Discounted price 26 228 Ft (24 979 Ft + 5% VAT)

    29 804 Ft

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    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 Springer
    • Date of Publication 1 October 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031865770
    • Binding Paperback
    • No. of pages320 pages
    • Size 235x155 mm
    • Language English
    • Illustrations Approx. 320 p.
    • 700

    Categories

    Short description:

    This textbook is intended for an undergraduate course on the fundamentals of parallel computing or as a background and reference for graduate courses on high-performance computing, shared-memory multiprocessor programming, or parallel algorithms.


    The author introduces theoretical concepts and tools for expressing, analyzing, and assessing parallel algorithms, and covers in detail the two most widely used concrete frameworks, OpenMP and MPI, plus the threading interface pthreads for writing parallel programs for either shared or distributed memory parallel computers with an emphasis on general concepts and principles. Code examples are given in a C-like style, and the extensive exercises can be used for self-study and as inspiration for small implementation projects in OpenMP and MPI.


    The book is appropriate for students and professionals engaged in all aspects of parallel computing.


     

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    Long description:

    This textbook is intended for an undergraduate course on the fundamentals of parallel computing or as a background and reference for graduate courses on high-performance computing, shared-memory multiprocessor programming, or parallel algorithms.


    The author introduces theoretical concepts and tools for expressing, analyzing, and assessing parallel algorithms, and covers in detail the two most widely used concrete frameworks, OpenMP and MPI, plus the threading interface pthreads for writing parallel programs for either shared or distributed memory parallel computers with an emphasis on general concepts and principles. Code examples are given in a C-like style, and the extensive exercises can be used for self-study and as inspiration for small implementation projects in OpenMP and MPI.


    The book is appropriate for students and professionals engaged in all aspects of parallel computing.


     

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    Table of Contents:

    Introduction to Parallel Computing: Architectures and Models, Algorithms and Measures.- Shared Memory Parallel Systems and OpenMP.- Distributed Memory Parallel Systems and MPI.- Appendix A, Proofs and Supplementary Material.- References.- Index.

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