Performance prediction of a parallel simulator

  • Authors:
  • Jason Liu;David Nicol;Brian J. Premore;Anna L. Poplawski

  • Affiliations:
  • Department of Computer Science, Dartmouth College, Hanover, NH;Department of Computer Science, Dartmouth College, Hanover, NH;Department of Computer Science, Dartmouth College, Hanover, NH;Department of Computer Science, Dartmouth College, Hanover, NH

  • Venue:
  • PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
  • Year:
  • 1999

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Abstract

There are at least three major obstacles thwarting wide-spread adoption of parallel discrete-event simulation (a) lack of need, (b) lack of tools, (c) lack of predictability in behavior and performance. The plain truth is that most simulation studies can be adequately done on ordinary serial computers. Parallel simulation tools are products of re-search efforts, and simply don't stand up to the demands of modern software engineering. The results of 20 years of research in parallel simulation reveal it to be a highly complex endevour, with performance results very much dependent on implementation details and model characteristics.