G. Wang, L. Bölöni, D. Turgut, and D. Marinescu. Time-parallel simulation of wireless ad hoc networks with compressed history. submitted to IEEE Transactions on Parallel and Distributed Systems, 2007.
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In this paper we introduce time-parallel simulation (TPS) with compressed history; the compressed history defines the critical events that perturb the measurements the most and ignores events that either do not affect at all the initial state of the measurement stage, or affect it only marginally. Though the technique we propose is application-specific, it is based upon the temporal locality of perturbations rooted on the assumption that causality has a limited scope, the effect of perturbations caused by distant events in the past will eventually diminish or extinguish after a certain time. TPS with compressed history allows us to speed up the simulation and produces good approximations to the exact simulation results; there is a tradeoff between the accuracy of the results and the speedup.
@article{Wang-2007-TPDS, author = "G. Wang and L. B{\"o}l{\"o}ni and D. Turgut and D. Marinescu", title = "Time-parallel simulation of wireless ad hoc networks with compressed history", journal = "submitted to IEEE Transactions on Parallel and Distributed Systems", year = "2007", abstract = { In this paper we introduce time-parallel simulation (TPS) with compressed history; the compressed history defines the critical events that perturb the measurements the most and ignores events that either do not affect at all the initial state of the measurement stage, or affect it only marginally. Though the technique we propose is application-specific, it is based upon the temporal locality of perturbations rooted on the assumption that causality has a limited scope, the effect of perturbations caused by distant events in the past will eventually diminish or extinguish after a certain time. TPS with compressed history allows us to speed up the simulation and produces good approximations to the exact simulation results; there is a tradeoff between the accuracy of the results and the speedup. }, }
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