Applied Parallel Computing
Nonfiction, Computers, Advanced Computing, Parallel Processing, Science & Nature, Mathematics, Applied, General Computing
| 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
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
