Multi-agent traffic simulation with CUDA
Strippgen, David; Nagel, Kai
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.
Published in: 2009 International Conference on High Performance Computing & Simulation, 10.1109/HPCSIM.2009.5192895, IEEE
