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An approach for the effective utilization of GP-GPUs in parallel combined simulation

David W. Bauer, Matthew McMahon, Ernest H. Page
The MITRE Corporation, McLean, VA
In Proceedings of the 40th Conference on Winter Simulation (2008), pp. 695-702.

@conference{bauer2008approach,

   title={An approach for the effective utilization of GP-GPUs in parallel combined simulation},

   author={Bauer Jr, D.W. and McMahon, M. and Page, E.H.},

   booktitle={Proceedings of the 40th Conference on Winter Simulation},

   pages={695–702},

   year={2008},

   organization={Winter Simulation Conference}

}

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A major challenge in the field of Modeling & Simulation is providing efficient parallel computation for a variety of algorithms. Algorithms that are described easily and computed efficiently for continuous simulation, may be complex to describe and/or efficiently execute in a discrete event context, and vice-versa. Real-world models often employ multiple algorithms that are optimally defined in one approach or the other. Parallel combined simulation addresses this problem by allowing models to define algorithmic components across multiple paradigms. In this paper, we illustrate the performance of parallel combined simulation, where the continuous component is executed across multiple graphical processing units (GPU) and the discrete event component is executed across multiple central processing units (CPU).
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