An Introduction to High-performance Scientific Computing

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MIT Press, 1996 - Computers - 760 pages
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This text evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering majors how to use high-performance computing systems (supercomputers) in scientific and engineering applications.

Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers.

The authors begin with a survey of scientific computing and then provide a review of background (numerical analysis, IEEE arithmetic, Unix, Fortran) and tools (elements of MATLAB, IDL, AVS). Next, full coverage is given to scientific visualization and to the architectures (scientific workstations and vector and parallel supercomputers) and performance evaluation needed to solve large-scale problems. The concluding section on applications includes three problems (molecular dynamics, advection, and computerized tomography) that illustrate the challenge of solving problems on a variety of computer architectures as well as the suitability of a particular architecture to solving a particular problem.

Finally, since this can only be a hands-on course with extensive programming and experimentation with a variety of architectures and programming paradigms, the authors have provided a laboratory manual and supporting software via anonymous ftp.

Scientific and Engineering Computation series
  

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Contents

An Overview of Scientific Computing
1
A Review of Selected Topics from Numerical Analysis
31
IEEE Arithmetic Short Reference
73
A Quick Review
83
Elements of UNIX Make
97
Elements of Fortran
135
Elements of Matlab
179
Elements of IDL
223
Computer Performance
337
Vector Computing
405
Distributedmemory MIMD Computing
439
SIMD Computing
489
Molecular Dynamics
533
Advection
583
Computerized Tomography
665
Bibliography
723

Elements of AVS
273
Scientific Visualization
295

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About the author (1996)

Ashton B. Carter is Ford Foundation Professor of Science and International Affairs at Harvard University's John F. Kennedy School of Government and Co-director of the Preventive Defense Project.

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