Parallel Satellite Orbit Prediction Using a Workstation Cluster

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ppt2-pvm.pdf (1.8 MB)
Authors
Stone, Leon C.
Shukla, Shridhar B.
Neta, Beny
Subjects
Parallel computing
orbit prediction
domain decomposition
PVM
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Date of Issue
1994
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Abstract
In this paper, the benefits of parallel computing using a workstation cluster are explored for satellite orbit prediction. Data and function decomposition techniques are used. Speedup and throughput are the performance metric studied. The software employed for parallelization was the Parallel Virtual Machine (PVM) developed by the Oak Ridge National Laboratory. PVM enables a network of heterogeneous workstations to appear as a parallel multicomputer to the user programs. A speedup of almost 6 was achieved when using 8 SUN workstations.
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Preprint
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https://hdl.handle.net/10945/39479
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Department
Applied Mathematics
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Citation
International J. Computer and Mathematics with Applications, 28, (1994), 1–8.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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