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Science 13 August 1993:
Vol. 261. no. 5123, pp. 856 - 863
DOI: 10.1126/science.261.5123.856
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Articles

Parallel Scientific Computation

W. Daniel Hillis 1 and Bruce M. Boghosian 1

1 Thinking Machines Corporation, Cambridge, MA 02142

Massively parallel computers offer scientists a new tool for computation, with capabilities and limitations that are substantially different from those of traditional serial computers. Most categories of large-scale scientific computations have proven remarkably amenable to parallel computation, but often the algorithms involved are different from those used on sequential machines. By surveying a range of examples of parallel scientific computations, this article summarizes our current understanding of the issues of applicability and programming of parallel computers for scientific applications.


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Rehosting A Mini-Computer Model On A Supercomputer.
J.W. Skiles and C.H. Schulbach (1996)
SIMULATION 66, 43-58
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High Performance Spectral Simulation of Turbulent Flows in Massively Parallel Machines With Distributed Memory.
T. A. Cortese and S. Balachandar (1995)
International Journal of High Performance Computing Applications 9, 187-204
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Parallel computing in biomedical research.
R. Martino, C. Johnson, E. Suh, B. Trus, and T. Yap (1994)
Science 265, 902-908
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Application and accuracy of molecular phylogenies.
D. Hillis, J. Huelsenbeck, and C. Cunningham (1994)
Science 264, 671-677
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Science. ISSN 0036-8075 (print), 1095-9203 (online)