GPGPU Computing for Microscopic Simulations of Crowd Dynamics
Jarosław Wąs; AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Kraków ; Hubert Mróz; AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Kraków ; Paweł Topa; AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, 30-059 Kraków & Institute of Geological Sciences, Biogeosystem Modelling Laboratory, Polish Academy of Sciences, 31-002 Kraków
Computing and Informatics, Tome 34 (2016) no. 4, / Harvested from
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.
Publié le : 2016-03-02
@article{cai2287,
     author = {Jaros\l aw W\k as; AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Krak\'ow and Hubert Mr\'oz; AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Krak\'ow and Pawe\l\ Topa; AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, 30-059 Krak\'ow \& Institute of Geological Sciences, Biogeosystem Modelling Laboratory, Polish Academy of Sciences, 31-002 Krak\'ow},
     title = {GPGPU Computing for Microscopic Simulations of Crowd Dynamics},
     journal = {Computing and Informatics},
     volume = {34},
     number = {4},
     year = {2016},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai2287}
}

Jarosław Wąs; AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Kraków; Hubert Mróz; AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30-059 Kraków; Paweł Topa; AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, 30-059 Kraków & Institute of Geological Sciences, Biogeosystem Modelling Laboratory, Polish Academy of Sciences, 31-002 Kraków. GPGPU Computing for Microscopic Simulations of Crowd Dynamics. Computing and Informatics, Tome 34 (2016) no. 4, . http://gdmltest.u-ga.fr/item/cai2287/