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.


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    Titel :

    Parallel simulation of a large-scale aerospace system in a multicomputer environment


    Beteiligte:
    Wells, B.E. (Autor:in) / Ricks, K.G. (Autor:in) / Weir, J.M. (Autor:in)


    Erscheinungsdatum :

    01.04.1997


    Format / Umfang :

    9867419 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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