A practical approach to high-performance computing

By: Kurgalin, SergeiContributor(s): Borzunov, SergeiMaterial type: TextTextPublication details: Cham : Springer, 2019ISBN: 9783030275600; 3030275604Subject(s): High performance computingDDC classification: 004.11
Contents:
Classification of Computing System Architecture -- Topologies of Computer Networks -- Fundamentals of Parallel Computing -- MPI Technology -- OpenMP Technology -- Implementation of Parallel Algorithms -- App. A, Algorithm Efficiency Estimation Methods -- App. B, Using the Linux Shell for Running Parallel Programs -- App. C, Introduction to the Fourier Transform -- App. D, Answers, Hints, Solutions to Problems -- Bibliography -- Name Index -- Index.
Summary: The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 004.11 KUR (Browse shelf(Opens below)) Available 016144
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Classification of Computing System Architecture --
Topologies of Computer Networks --
Fundamentals of Parallel Computing --
MPI Technology --
OpenMP Technology --
Implementation of Parallel Algorithms --
App. A, Algorithm Efficiency Estimation Methods --
App. B, Using the Linux Shell for Running Parallel Programs --
App. C, Introduction to the Fourier Transform --
App. D, Answers, Hints, Solutions to Problems --
Bibliography --
Name Index --
Index.


The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code

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