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An Application of Graphics Processing Units to Geosimulation of Collective Crowd Behaviour

机译:图形处理单元在集体人群行为地理模拟中的应用

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The goal of the paper is to assess the ways for computational performance and efficiency improvement of collective crowd behaviour simulation by using parallel computing methods implemented on graphics processing unit (GPU). To perform an experimental evaluation of benefits of parallel computing, a new GPU-based simulator prototype is proposed and the runtime performance is analysed. Based on practical examples of pedestrian dynamics geosimulation, the obtained performance measurements are compared to several other available multiagent simulation tools to determine the efficiency of the proposed simulator, as well as to provide generic guidelines for the efficiency improvements of the parallel simulation of collective crowd behaviour.
机译:本文的目的是通过使用在图形处理单元(GPU)上实现的并行计算方法来评估集体人群行为模拟的计算性能和效率改进的方法。为了对并行计算的好处进行实验评估,提出了一个新的基于GPU的模拟器原型,并对运行时性能进行了分析。基于行人动力学地理模拟的实际示例,将获得的性能测量结果与其他几种可用的多主体仿真工具进行比较,以确定所提出的模拟器的效率,并为提高集体人群行为的并行模拟的效率提供通用指导。

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