The Potential Impact of High-End Capability Computing on Four Illustrative Fields of Science and Engineering

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The Potential Impact of High-End Capability Computing on Four Illustrative Fields of Science and Engineering (2008)
Division on Engineering and Physical Sciences (DEPS)

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. "1 Problem Definition and History." The Potential Impact of High-End Capability Computing on Four Illustrative Fields of Science and Engineering. Washington, DC: The National Academies Press, 2008.

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The Potential Impact of High-End Capability Computing on Four Illustrative Fields of Science and Engineering

flops range, deployed and supported at the local level by individual campuses and other research organizations; (ii) multiple systems with peak performance of 100+ teraflops that support the work of thousands of researchers nationally; and, (iii) at least one system in the 1-10 petaflops range that supports a more limited number of projects demanding the highest levels of computing performance. All NSF-deployed systems will be appropriately balanced and will include core computational hardware, local storage of sufficient capacity, and appropriate data analysis and visualization capabilities.

HECC challenges abound in science and engineering, and the focus of this report on four fields should not be taken to imply that those particular fields are in some sense special. The committee is well aware of the important and challenging opportunities afforded by HECC in many other fields.

REFERENCES

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Goldstine, H.H., and A. Goldstine. 1946. The Electronic Numerical Integrator and Computer (ENIAC). Reprinted in The Origins of Digital Computers: Selected Papers. New York, N.Y.: Springer-Verlag, 1982, pp. 359-373.

Lax, Peter (ed.). 1982. “Large Scale Computing in Science and Engineering.” National Science Board.

Lax, P.D., and R.D. Richtmyer. 1956. Survey of the stability of linear finite difference equations. Communications on Pure & Applied Mathematics 9: 267-293.

NRC (National Research Council). 2005. Getting Up to Speed: The Future of Supercomputing. Washington, D.C.: The National Academies Press.

NSF (National Science Foundation). 2006. NSF’s Cyberinfrastructure Vision for 21st Century Discovery. Draft Version 7.1. Available at http://www.nsf.gov/od/oci/ci-v7.pdf. Accessed July 18, 2008.

Richardson, Lewis Fry. 1922. Weather Prediction by Numerical Process. Cambridge, England: Cambridge University Press.

von Neumann, J., and H.H. Goldstine. 1947. Numerical inverting of matrices of high order I. Bulletin of the American Mathematical Society 53(11): 1021-1099.