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A Practical Approach to High-Performance Computing

A Practical Approach to High-Performance Computing

A Practical Approach to High-Performance Computing
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A Practical Approach to High-Performance Computing Hardback - 2019

by Kurgalin, Sergei

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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Details

  • Title A Practical Approach to High-Performance Computing
  • Author Kurgalin, Sergei
  • Binding Hardback
  • Condition Used - Good
  • Pages 206
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2019-11-19
  • Illustrated Yes
  • Features Bibliography, Illustrated
  • Bookseller's Inventory # 3030275574.G
  • ISBN 9783030275570 / 3030275574
  • Weight 1.07 lbs (0.49 kg)
  • Dimensions 9.21 x 6.14 x 0.56 in (23.39 x 15.60 x 1.42 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 004.6
  • Quantity available 1

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Reader reviews for A Practical Approach to High-Performance Computing

From the publisher

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.

From the rear cover

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.

About the author

Sergei Kurgalin and Sergei Borzunov have taught related courses such as Parallel Programming, Technologies of Parallel Computing, Parallel and Grid Technologies, and Parallel Data Processing Algorithms at bachelor's and master's level over many years at Voronezh State University.
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