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Multi-agent traffic simulation with CUDA

D. Strippgen, K. Nagel
Transport Systems Planning and Transport Telematics (VSP), TU Berlin, Salzufer 17-19, Sekr. SG 12, 10587 Berlin, Germany
International Conference on High Performance Computing & Simulation, 2009. HPCS ’09, pp.106-114

@conference{strippgen2009multi,

   title={Multi-agent traffic simulation with CUDA},

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

   booktitle={High Performance Computing & Simulation, 2009. HPCS’09. International Conference on},

   pages={106–114},

   year={2009},

   organization={Ieee}

}

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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 NVIDIA’s CUDA framework.
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