This work describes the application of newly developed parallel processing techniques that exploit the irregularly-structured functional parallelism present within a test-bed aerospace system (i.e., a Space Shuttle main rocket engine simulation) utilizing a reduced complexity multicomputing architecture with an arbitrary topology. The methodologies are applicable to real time parallel simulation of large-scale dynamic systems and include deterministic model optimization and decomposition techniques, automated translation mechanisms, and a newly developed task allocation heuristic. The effectiveness of these techniques are illustrated with performance being measured empirically for a wide range of topological configurations using a partially reconfigurable network of Transputers.
Parallel simulation of a large-scale aerospace system in a multicomputer environment
IEEE Transactions on Aerospace and Electronic Systems ; 33 , 2 ; 507-522
1997-04-01
9867419 byte
Article (Journal)
Electronic Resource
English
Parallel Simulation of a Large-Scale Aerospace System in a Multicomputer Environment
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