Performance of a Parallel Multi-Agent Simulation using Graphics Hardware

Timothy W. C. Johnson, J. Rankin
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引用次数: 2

Abstract

Large-scale Agent-Based Modelling and Simulation (ABMS) is a field of research that is becoming increasingly popular as researchers work to construct simulations at a higher level of complexity and realism than previously done. These systems can not only be difficult and time consuming to implement, but can also be constrained in their scope due to issues arising from a shortage of available processing power. This work simultaneously presents solutions to these two problems by demonstrating a model for ABMS that allows a developer to design their own simulation, which is then automatically converted into code capable of running on a mainstream Graphical Processing Unit (GPU). By harnessing the extra processing power afforded by the GPU this paper creates simulations that are capable of running in real-time with more autonomous agents than allowed by systems using traditional x86 processors. Performance of a Parallel Multi-Agent Simulation using Graphics Hardware
基于图形硬件的并行多智能体仿真性能研究
大规模基于主体的建模与仿真(ABMS)是一个越来越受欢迎的研究领域,因为研究人员致力于构建比以前更高的复杂性和真实感的仿真。这些系统的实现不仅困难且耗时,而且由于可用处理能力不足而产生的问题,其范围也可能受到限制。这项工作同时提出了这两个问题的解决方案,通过演示ABMS模型,允许开发人员设计自己的仿真,然后自动转换为能够在主流图形处理单元(GPU)上运行的代码。通过利用GPU提供的额外处理能力,本文创建了能够使用比使用传统x86处理器的系统更多的自主代理实时运行的模拟。基于图形硬件的并行多智能体仿真性能研究
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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