Introduction to High-Performance Scientific Computing / Edition 1

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Overview

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, AnIntroduction 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 EngineeringComputation series

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Editorial Reviews

Booknews
A textbook for a one- or two-semester advanced undergraduate course in high-performance scientific computing, for students in engineering and science. It shows how to use high-performance computing systems (supercomputers) in scientific and engineering applications. It assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming. The textbook is supplemented by a laboratory manual and supporting software, available by anonymous ftp. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780262061810
  • Publisher: MIT Press
  • Publication date: 4/18/1996
  • Series: Scientific and Engineering Computation
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 750
  • Product dimensions: 7.00 (w) x 9.00 (h) x 1.90 (d)

Meet the Author

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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Table of Contents

Series Foreword
Preface
1 An Overview of Scientific Computing 1
2 A Review of Selected Topics from Numerical Analysis 31
3 IEEE Arithmetic Short Reference 73
4 UNIX, vi, and ftp: A Quick Review 83
5 Elements of UNIX Make 97
6 Elements of Fortran 135
7 Elements of Matlab 179
8 Elements of IDL 223
9 Elements of AVS 273
10 Scientific Visualization 295
11 Computer Performance 337
12 Vector Computing 405
13 Distributed-memory MIMD Computing 439
14 SIMD Computing 489
15 Molecular Dynamics 533
16 Advection 583
17 Computerized Tomography 665
Bibliography 723
Index 739
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