Abstract
Computer simulation is one of the well known problem solving paradigms. Simulating large systems generally requires much computational energy, sometimes beyond the capacities of available single processor computers. Parallel discrete event simulation (PDES) is the execution of a discrete event simulation (DES) on a multiprocessor computer. Its prime objective is to make large simulations feasible, by providing more memory and reducing the execution time of simulation experiments. In spite of the computational requirements of many simulations and the availability of multiprocessors systems, parallel simulation techniques have failed to gain widespread use in the simulation community. One of the reasons for the lack of success of parallel simulation is claimed to be the complexity of programming parallel simulations.
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