Performance prediction of a parallel simulator

Jason Liu, David Nicol, Brian Premore, Anna Poplawski

Research output: Contribution to conferencePaperpeer-review

Abstract

The Scalable Simulation Framework (SSF) is an effort established to address the concern about tool quality. This work addresses the concern over unpredictable behavior. It is shown how the internal overheads of the Dartmouth implementation of the SSF API (DaSSF) have been measured, and how such measurements can be used to predict the performance of a given model, using given features of the simulator, without having to run, or even build, the model.

Original languageEnglish (US)
Pages156-164
Number of pages9
StatePublished - Jan 1 1999
Externally publishedYes
EventProceedings of the 1999 13th Workshop on Parallel and Distriuted Simulation (PADS'99) - Atlanta, GA, USA
Duration: May 1 1999May 4 1999

Conference

ConferenceProceedings of the 1999 13th Workshop on Parallel and Distriuted Simulation (PADS'99)
CityAtlanta, GA, USA
Period5/1/995/4/99

ASJC Scopus subject areas

  • Engineering(all)

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