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Iranslating Agent rerception Computations into Environmental Processes in Multi-Agent-Based Simulations: A means for Integrating Graphics Processing Unit Programming within Usual Agent-Based Simulation Platforms

机译:在基于多Agent的仿真中将Agent接收计算转换为环境过程:一种在基于Agent的常用仿真平台中集成图形处理单元程序的方法

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摘要

Multi-agent-based simulations (MABS) relies on modelling the behavior of individual entities and their interactions in a virtual environment. Nowadays, MABS are used for studying various complex systems such as crowds, animal societies, ecosystems, traffic behaviors or the Market. So MABS are experimental research tools that contribute to our understanding of the mechanisms embedded in these complex systems. Still, studying some complex systems may require to consider millions of individuals. In such a case, the computing resources, which are required, represent a major obstacle for MABS end-users. In this respect, general-purpose computing on graphics processing units (GPGPU) is a relevant approach for addressing performance and scalability issues. However, GPU programming requires expert skills, which strongly limits both the accessibility and the re-usability of the frameworks developed using GPGPU. This paper presents MABS design guideline, dedicated to the GPU context, which allows the use of the GPU power without sacrificing the accessibility of MABS frameworks.
机译:基于多主体的仿真(MABS)依赖于对单个实体的行为及其在虚拟环境中的交互进行建模。如今,MABS用于研究各种复杂的系统,例如人群,动物社会,生态系统,交通行为或市场。因此,MABS是实验研究工具,有助于我们理解这些复杂系统中嵌入的机制。尽管如此,研究一些复杂的系统可能仍需要考虑数百万个人。在这种情况下,所需的计算资源成为MABS最终用户的主要障碍。在这方面,图形处理单元(GPGPU)上的通用计算是解决性能和可伸缩性问题的一种相关方法。但是,GPU编程需要专家技能,这严重限制了使用GPGPU开发的框架的可访问性和可重用性。本文介绍了专门针对GPU上下文的MABS设计指南,该指南允许在不牺牲MABS框架可访问性的情况下使用GPU功能。

著录项

  • 来源
    《Systems research and behavioral science》 |2013年第6期|703-715|共13页
  • 作者

    Fabien Michel;

  • 作者单位

    Laboratoire d'Informatique, de Microelectronique, et de Robotique Montpellier, Universite Montpellier II - CNRS,Montpellier Cedex 2, France Fabien Michel, Laboratoire d'Informatique, de Microelectronique, et de Robotique Montpellier, Universite Montpellier II - CNRS, 161 rue Ada, Montpellier Cedex 2, France;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    high performance computing; GPGPU; multi-agent-based simulation;

    机译:高性能计算;GPGPU;基于多主体的仿真;
  • 入库时间 2022-08-18 02:21:33

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