The Community for Technology Leaders
2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation (2005)
Monterey, Californi
June 1, 2005 to June 3, 2005
ISSN: 1087-4097
ISBN: 0-7695-2383-8
pp: 49-58
Parallelising sequential discrete event simulation programs is often a tedious process, with no guarantee for speedup. This paper describes a performance analyser tool developed to predict the execution performance of parallel discrete event simulation programs, using either optimistic or conservative protocols. The tool aims to provide the user with the flexibility of choosing the simulation protocol desired, and to make useful comparisons between the results obtained. The novel feature of the analyser is that it predicts the parallel execution performance based on a sequential simulation run, without the parallel implementation developed. This paper describes the structure and operation of the analyser program focusing on the analysis of the optimistic simulation protocol. As the prediction of the optimistic protocol is very different from the conservative one, its uniqueness is illustrated in this paper. The performance analyzer and prediction tool can be used to explore different protocols and parameters in order to provide faster decision making about the final implementation strategy.
Performance analysis, Protocols, Analytical models, Discrete event simulation, Predictive models, Computational modeling, Decision making, Information analysis, Concurrent computing, Information systems
"Optimistic protocol analysis in a performance analyser and prediction tool", 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, vol. 00, no. , pp. 49-58, 2005, doi:10.1109/PADS.2005.17
98 ms
(Ver 3.3 (11022016))