Predicting Runtime Performance Bounds of Expanded Parallel Discrete Event Simulations

Predicting and analyzing runtime performance characteristics is a vital step in the development process of parallel discrete event simulations. For instance, model developers need to identify and eliminate performance bottlenecks within a simulation model in order to derive a model structure that aids parallel execution. Similarly, developers of parallel simulation frameworks require means of assessing the efficiency of the framework. In this paper, the authors present a performance prediction methodology that computes the best possible performance bound for expanded parallel discrete event simulations in the context of their Horizon simulation framework.