An Architecture for Real Time Crowd Simulation Using Multiple GPUs

Computing and presenting crowd simulation in real-time requires an intensive processing effort, since it is necessary processing the behavior and render of each entity. The advent of GPU computing has enabled the development of many strategies for accelerating these simulations. In this paper we propose an architecture for multiples GPUs for crowd simulation, that allows a massive number of entities to be processed and rendered in real time. Also, we implement a representative case-study based on the behavior of a crowd during the street carnival from Rio de Janeiro from which we run benchmarks and compare the benefits achieved using more the presented architecture.