An Introduction to High-Performance Scientific Computing

Fosdick, Lloyd D; Jessup, Elizabeth R.; Schauble, Carolyn J. C.; Domik, Gitta

ISBN 10: 0262061813 / ISBN 13: 9780262061810

Published by Cumberland, Rhode Island, U.S.A.: Mit Pr, 1996

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hardback book in fine condition. Seller Inventory # 121783

Bibliographic Details

Title: An Introduction to High-Performance ...

Publisher: Cumberland, Rhode Island, U.S.A.: Mit Pr

Publication Date: 1996

Binding: Hardcover

Condition: Fine

About this title

Synopsis:

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.

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

About the Authors:

Lloyd Fosdick is Professor Emeritus in the Department of Computer Science at the University of Colorado.

Elizabeth Jessup is Department Chair in the Department of Computer Science at the University of Colorado.

Carolyn Schauble is Research Associate in the Department of Computer Science at the University of Colorado.

Gitta Domik is Head of the Department of Computer Graphics, Visualization, and Image Processing at the Institute of Computer Science of the University of Paderborn, Germany, where she is also Dean of Studies of the Faculty of Electrical Engineering, Computer Science, and Mathematics.