Applied Parallel Computing

Nonfiction, Computers, Advanced Computing, Parallel Processing, Science & Nature, Mathematics, Applied, General Computing
Cover of the book Applied Parallel Computing by Yuefan Deng, World Scientific Publishing Company
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Author: Yuefan Deng ISBN: 9789814483872
Publisher: World Scientific Publishing Company Publication: August 23, 2012
Imprint: WSPC Language: English
Author: Yuefan Deng
ISBN: 9789814483872
Publisher: World Scientific Publishing Company
Publication: August 23, 2012
Imprint: WSPC
Language: English

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.

Contents:

  • Introduction
  • Performance Metrics and Models
  • Hardware Systems
  • Software Systems
  • Design of Algorithms
  • Linear Algebra
  • Differential Equations
  • Fourier Transforms
  • Optimization
  • Applications

Readership: Graduate students, scientists and engineers in supercomputing, numerical analysis & computational mathematics and computational physics.
Key Features:

  • Provides readers with many examples of algorithms and includes more than 20 sample projects
  • Borrows treatise of physics and mathematics to explain complex parallel computing algorithms of interdisciplinary in nature
  • Includes the most forefront research topics to stimulate further study interests
  • Author has 26 years of learning and research experience in theoretical physics, applied mathematics and parallel computing
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The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.

Contents:

Readership: Graduate students, scientists and engineers in supercomputing, numerical analysis & computational mathematics and computational physics.
Key Features:

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