GPGPU Computing for Microscopic Simulations of Crowd Dynamics
Keywords:Crowd simulation, social force, social distances, cellular automata, using GPU in simulation
AbstractWe compare GPGPU implementations of two popular models of crowd dynamics. Specifically, we consider a continuous social force model, based on differential equations (molecular dynamics) and a discrete social distances model based on non-homogeneous cellular automata. For comparative purposes both models have been implemented in two versions: on the one hand using GPGPU technology, on the other hand using CPU only. We compare some significant characteristics of each model, for example: performance, memory consumption and issues of visualization. We also propose and test some possibilities for tuning the proposed algorithms for efficient GPU computations.
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How to Cite
Wąs, J., Mróz, H., & Topa, P. (2016). GPGPU Computing for Microscopic Simulations of Crowd Dynamics. COMPUTING AND INFORMATICS, 34(6), 1418–1434. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/2287