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Distributed and parallel simulation has been a popular research topic in recent years. The research has primarily concentrated on correctness and speedup of distributed simulation. The statistical output analysis that is an essential part of simulating stochastic systems has attained only small attention. Parallel simulation is often mentioned as an attractive alternative for steady-state simulations. However, empirical results are not widely reported. In this study we present results of the parallel spectral method. The results are based on 12 simulation models executed in simulated parallel environment and on measured executing times and message passing delays.

Run length control using parallel spectral method