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Using common graphics hardware for multi-agent traffic simulation with CUDA

David Strippgen, Kai Nagel
TU Berlin, Salzufer, Berlin, Germany
Proceedings of the 2nd International Conference on Simulation Tools and Techniques, Simutools ’09

@conference{strippgen2009using,

   title={Using common graphics hardware for multi-agent traffic simulation with cuda},

   author={Strippgen, D. and Nagel, K.},

   booktitle={Proceedings of the 2nd International Conference on Simulation Tools and Techniques},

   pages={1–8},

   year={2009},

   organization={ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)}

}

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Today’s graphics processing units (GPU) have tremendous resources when it comes to raw computing power. The simulation of large groups of agents in transport simulation has a huge demand of computation time. Therefore it seems reasonable to try to harvest this computing power for traffic simulation. Unfortunately simulating a network of traffic is inherently connected with random memory access. This is not a domain that the SIMD (single instruction, multiple data) architecture of GPUs is known to work well with. In this paper the authors will try to achieve a speedup by computing multi-agent traffic simulations on the graphics device using NVIDIAs CUDA framework.
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