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  • Introduction to High Performance Computing for Scientists and Engineers, Second Edition

    Introduction to High Performance Computing for Scientists and Engineers, Second Edition by Hager, Georg; Wellein, Gerhard;

    Series: Chapman & Hall/CRC Computational Science;

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      • Publisher's listprice GBP 56.99
      • 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.

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    Product details:

    • Edition number 2, New edition
    • Publisher Chapman and Hall
    • Date of Publication 1 June 2026

    • ISBN 9781482252934
    • Binding Paperback
    • No. of pages400 pages
    • Size 254x178 mm
    • Weight 453 g
    • Language English
    • Illustrations 150 Illustrations, black & white
    • 700

    Categories

    Short description:

    This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.

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    Long description:

    This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.

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    Table of Contents:

    Introduction. Modern general-purpose processors. Basic optimization techniques for serial code. Parallel computers. Basics of parallelization. Shared-memory parallel programming with OpenMP. Node-level performance engineering. Efficient OpenMP programming. Locality optimizations on ccNUMA architectures. Distributed-memory parallel programming with MPI. Efficient MPI programming. Hybrid parallelization with MPI and OpenMP. Accelerated computing. Appendix: The LIKWID tool suite.

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