SSGM: from serial to parallel processing using PVM

Harry M. Heckathorn; Becky Popp; William R. Smith; David Conklin; D. A. Newman; Fred Wieland

doi:10.1117/12.241105

24 May 1996 SSGM: from serial to parallel processing using PVM

Harry M. Heckathorn, Becky Popp, William R. Smith, David Conklin, D. A. Newman, Fred Wieland

Proceedings Volume 2741, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing; (1996) https://doi.org/10.1117/12.241105
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Physics-Based Distributed Simulation using Optimistic Computing makes innovative use of emerging technologies to achieve faster generation of complex, multi-component physics-based information. The computational results are used in performing simulations that probe engineering issues relevant to system acquisition and in high-fidelity real- time distributed simulations. Four synergistic technologies are being brought together to bare on the question of high- fidelity scene generation to support HWIL simulation: integrating architectures for state-of-science, physics- based phenomenology models; protocols to support heterogeneous computers operating on a single network; accessible high-capacity networks; and optimistic synchronization to achieve demanding computational speed requirements and to overcome latency problems in real-time systems. We wish to report the first results from a multi- layer demonstration project that the Naval Research Laboratory has undertaken for the Ballistic Missile Defense Organization. We have made progress using the first three technologies and are planning to address optimistic synchronization in the near-future.

Citation Download Citation

Harry M. Heckathorn, Becky Popp, William R. Smith, David Conklin, D. A. Newman, and Fred Wieland "SSGM: from serial to parallel processing using PVM", Proc. SPIE 2741, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing, (24 May 1996); https://doi.org/10.1117/12.241105

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KEYWORDS

Databases

Computing systems

Data modeling

Clouds

Computer simulations

Performance modeling

Parallel processing

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