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Software engineering frontiers in computational science and engineering

Published: 17 March 1995 Publication History

Abstract

In 1991, the US Congress passed the High Performance Computing and Communications bill, commonly known as the HPCC bill, enshrining the Grand Challenges as national priorities. The very nature of these problems require the multidisciplinary teamwork of engineers plus computer, mathematical and physical scientists. But many important scientific and engineering problems are solved daily on workstations---these were dubbed the "petty challenges". Both classes of problem are demanding computational systems although quite different from non-scientific systems.We review a philosophical background for CSE, using this development to point out how seemingly innocuous decisions made by engineers and scientists can have disastrous results. Hence, software engineers should see CSE as a professional challenge. Our program is based on studying applications, the algorithms to solve problems arising in those applications, and the mapping of those algorithms to architectures. Using Computing Reviews categories, we outline the subjects required for understanding CSE systems.

References

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Errett J. Bishop and Douglas Bridges. Constructive Analysis. Springer-Verlag, 1985.
[2]
Federal Coordinating Council for Science, Engineering and Technology. Grand Challenges 1994: High Performance Computing and Communications. NSF, National Science Foundation, Computer and Information Science and Engineering Directorate, 1800 G Street N.W., Washington, DC 20550, 1994. May be obtained via e-mail through pubsnote.nsf.gov.
[3]
G. E. Forsythe, M. A. Malcum, and C. B. Moler. Computer Methods for Mathematical Computation. Prentice-Hall, 1977.
[4]
W. Kahan and J. Palmer. On a proposed floating-point standard. SIGNUM Newsletter, Special Issue, pages 13--21, October 1979.
[5]
Morris Kline. Mathematics: The Loss of Certainty. Oxford University Press, 1980.
[6]
John R. Rice. Academic programs in computational science and engineering. IEEE Computational Science & Engineering, 1(1), 1994.
[7]
Ahmed Sameh and John Riganati. Computational science & engineering. IEEE Computer, 26(10):8--12, 1993.
[8]
D. E. Stevenson. Science, computational science, and computer science: At a crossroads. Comm. ACM, 37(12), 1994.

Cited By

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  • (1999)A Critical Look at Quality in Large-Scale SimulationsComputing in Science and Engineering10.1109/5992.7642161:3(53-63)Online publication date: 1-May-1999

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cover image ACM Other conferences
ACMSE '95: Proceedings of the 33rd annual ACM Southeast Conference
March 1995
300 pages
ISBN:0897917472
DOI:10.1145/1122018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 March 1995

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Author Tags

  1. computational science
  2. scientific programming
  3. software engineering

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ACMSE '95
March 17 - 18, 1995
South Carolina, Clemson

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ACMSE '95 Paper Acceptance Rate 47 of 75 submissions, 63%;
Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

View all
  • (1999)A Critical Look at Quality in Large-Scale SimulationsComputing in Science and Engineering10.1109/5992.7642161:3(53-63)Online publication date: 1-May-1999

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