Experimental federated modeling of an optical data path

Roger D. Chamberlain, Jason E. Fritts, Praveen Krishnamurthy, Hui Zhang

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper explores the federated modeling of an optical data path that interconnects processors and memory in a multicomputer system. By federated modeling, we mean the use of two pre-existing simulation models of distinct subsystems to form a resulting overall model of the entire system. In this experimental federation, we investigate mechanisms that facilitate the distinct models working together while explicitly minimizing the model integration effort required. This focus yields tradeoffs in both model execution time and (potentially) the fidelity of the overall performance results. These tradeoffs are investigated quantitatively in the context of a particular system under investigation, a multicomputer optical data path.

Original languageEnglish
Pages (from-to)264-274
Number of pages11
JournalProceedings of the IASTED International Conference on Modelling, Simulation, and Optimization
StatePublished - 2004
EventProceedings of the Fourth IASTED International Conference on Modelling, Simulation, and Optimization - Kauai, HI, United States
Duration: Aug 17 2004Aug 19 2004

Keywords

  • Federated simulation models
  • Optical data path
  • Performance evaluation
  • Processor/memory gap

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