GPGPU Computing for Microscopic Simulations of Crowd Dynamics

Year, pages: 2015, 1418 - 1434

We 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.

Wąs, J., Mróz, H., Topa, P. 2015. GPGPU Computing for Microscopic Simulations of Crowd Dynamics. In Computing and Informatics, vol. 34, no.6, pp. 1418-1434. 1335-9150.

Wąs, J., Mróz, H., Topa, P. (2015). GPGPU Computing for Microscopic Simulations of Crowd Dynamics. Computing and Informatics, 34(6), 1418-1434. 1335-9150.