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Using GPU for Multi-agent Multi-scale Simulations

机译:使用GPU进行多功能多尺度模拟

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摘要

Multi-Agent System (MAS) is an interesting way to create models and simulators and is widely used to model complex systems. As the complex system community tends to build up larger models to fully represent real systems, the need for computing power raise significantly. Thus MAS often lead to long computing intensive simulations. Parallelizing such a simulation is complex and it execution requires the access to large computing resources. In this paper, we present the adaptation of a MAS system, Sworm, to a Graphical Processing Unit. We show that such an adaptation can improve the performance of the simulator and advocate for a more wider use of the GPU in Agent Based Models in particular for simple agents.
机译:多代理系统(MAS)是创建模型和模拟器的有趣方法,并广泛用于建模复杂系统。由于复杂的系统社区倾向于建立更大的模型来完全代表真实系统,因此需要显着提高计算能力的需求。因此,MAS经常导致长期计算密集型模拟。并行化这样的模拟是复杂的并且执行需要访问大型计算资源。在本文中,我们介绍了MAS系统,SWORM,图形处理单元的适应。我们表明,这种适应可以提高模拟器的性能,并倡导更广泛地使用基于代理的模型中的GPU,特别是对于简单的代理。

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