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Accelerating Scientific Discovery through Computation and Visualization



James S. Sims, John G. Hagedorn, Peter M. Ketcham, Steven G. Satterfield, Terence J. Griffin, William L. George, H A. Fowler, B A. am Ende, Howard Hung, Robert B. Bohn, John E. Koontz, Nicos Martys, Charles E. Bouldin, James A. Warren, D L. Feder, Charles W. Clark, Bernard J. Filla, Judith E. Terrill


The rate of scientific discovery can be accelerated through computation and visualization. This acceleration results from the synergy of expertise, computing tools, and hardware for enabling high performance computation, information science, and visualization that is provided by a team of computation and visualization scientists collaborating in a peer-to peer effort with the research scientists. In the context of this discussion, high performance refers to capabilities beyond the current state of the art in desktop computing. To be effective in this arena, a team comprising a critical mass of talent, parallel computing techniques, visualization algorithms, advanced visualization hardware, and a recurring investment is required to stay beyond the desktop capabilities. This article describes, through examples, how the Scientific Applications and Visualization Group (SAVG) at NIST has utilized high performance parallel computing and visualization to accelerate condensate modeling, (2) fluid flow in porous materials and in other complex geometries, (3) flows in suspensions, (4) x-ray absorption, (5) dielectric breakdown modeling, and (6) dendritic growth in alloys.
Journal of Research (NIST JRES) -


discovery science, distributed processing, immersive environments, IMPI, interoperable MPI, message passing interface, MPI, parallel processing, scientific visualization


Sims, J. , Hagedorn, J. , Ketcham, P. , Satterfield, S. , Griffin, T. , George, W. , Fowler, H. , am, B. , Hung, H. , Bohn, R. , Koontz, J. , Martys, N. , Bouldin, C. , Warren, J. , Feder, D. , Clark, C. , Filla, B. and Terrill, J. (2000), Accelerating Scientific Discovery through Computation and Visualization, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], (Accessed April 13, 2024)
Created November 1, 2000, Updated February 19, 2017