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Experiments with Single Core, Multi-core, and GPU Based Computation of Cellular Automata

Stefan Rybacki, Jan Himmelspach, Adelinde M. Uhrmacher
Inst. of Comput. Sci., Univ. of Rostock, Rostock, Germany
First International Conference on Advances in System Simulation, 2009. SIMUL ’09

@conference{rybacki2009experiments,

   title={Experiments with single core, multi-core, and GPU based computation of cellular automata},

   author={Rybacki, S. and Himmelspach, J. and Uhrmacher, A.M.},

   booktitle={2009 First International Conference on Advances in System Simulation},

   pages={62–67},

   year={2009},

   organization={IEEE}

}

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Cellular automata are a well-known modeling formalism exploited in a wide range of application areas. In many of those, the complexity of models hampers a thorough analysis of the system under study. Therefore, efficient simulation algorithms are required. We present here a comparison of seven different simulation algorithms for cellular automata: the classical ldquofullrdquo simulator, the classical ldquodiscrete eventrdquo simulator, a threaded (multicore) variant of each of these, an adaptable threaded variant, and a GPU based algorithm with and without readback of calculated states. The comparison is done based on the M&S framework JAMES II by using a set of well-known models.
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