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Applications of Parallel Processing to Astrodynamics

Published online by Cambridge University Press:  12 April 2016

S. Coffey ,
L. Healy  and
H. Neal
S. Coffey
Affiliation:
Naval Research Laboratory Washington DC, USA
L. Healy
Affiliation:
Naval Research Laboratory Washington DC, USA
H. Neal
Affiliation:
Naval Research Laboratory Washington DC, USA

Abstract

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Parallel processing is being used to improve the catalog of earth orbiting satellites and for problems associated with the catalog. Initial efforts centered around using SIMD parallel processors to perform debris conjunction analysis and satellite dynamics studies. More recently, the availability of cheap supercomputing processors and parallel processing software such as PVM have enabled the reutilization of existing astrodynamics software in distributed parallel processing environments. Computations once taking many days with traditional mainframes are now being performed in only a few hours. Efforts underway for the US Naval Space Command include conjunction prediction, uncorrelated target processing and a new space object catalog based on orbit determination and prediction with special perturbations methods.

Type
Dynamics and Astrometry: Present and Future
Information
International Astronomical Union Colloquium , Volume 165: Dynamics and Astrometry of Natural and Artificial Celestial Bodies , 1997 , pp. 61 - 70
Copyright
Copyright © Kluwer 1997

References

Healy, L. and Deprit, E.: 1991, “Paint by number: Uncovering phase flows of an integrable dynamical system,” Computers in Physics Sep-Oct, 491–496.CrossRefGoogle Scholar
Coffey, S.L., Deprit, A., and Deprit, E.: 1994, “Frozen orbits for satellites close to an Earth-like planet”, Celest. Mech. & Dyn. Astron. 59, 37–72.Google Scholar
Baumgardner, J.R. and Frederickson, P.O.: 1985, “Icosahedral discretization of the two-sphere”, Siam J. of Numerical Analysis 22, 1107–1115.CrossRefGoogle Scholar
Healy, L.: 1995, “Close conjunction detection on parallel computer”, J. Guid. Control Dyn. 18, 824–829.CrossRefGoogle Scholar
Brouwer, D.: 1959, “Solution of the problem of artificial satellite theory without drag”, Astron. J. 64, 378–397.Google Scholar
Geist, A.,: 1994, PVM—Parallel Virtual Machine—A Users’Guide and Tutorial for Network Parallel Computing, MIT Press, Cambridge, MA.CrossRefGoogle Scholar
Coffey, S.L., Jenkins, E., Neal, H.L., and Reynolds, H.: 1996, “Parallel processing of uncorrelated observations into satellite orbits”, AAS/AIAA Astrodynamics Specialist Conference, Austin, Paper 96-146.Google Scholar