A Modeler-Friendly API for ABM Partitioning

Author:

Gulya´s La´szlo´1,Szemes Ga´bor2,Kampis George2,de Back Walter2

Affiliation:

1. Aitia International Inc.; Collegium Budapest, Budapest, Hungary

2. Collegium Budapest, Budapest, Hungary

Abstract

Agent Based Modeling (ABM) is a popular technique for dealing with complex systems. An ABM usually consists of many autonomous, interacting agents, and modelers are interested in the system-level, emergent behavior of these agents. In developing an ABM, scalability is one of most critical factors for validation. Looking for an acceptable solution, parallelization often comes into play. However, writing a parallel version of an ABM simulation is at least as hard as developing the original model, and usually takes an expert of the area. This paper demonstrates our ongoing developments based on the idea that ABMs can be classified on the basis of their interior communication topology. We have developed six reusable parallel simulation schemas that can be instantiated with simulation-specific code using the Java language. Our aim was to give general, domain independent support for ABM modelers, where the parallel piece of code is completely transparent. The hope is that ABM modelers can treat their parallel system in almost the same way as they do the original. The paper details our approach as well as the implementation and, towards the end, shows performance results and how one of the templates works in a GRID system.

Publisher

ASMEDC

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessing the feasibility of OpenCL CPU implementations for agent-based simulations;Proceedings of the 5th International Workshop on OpenCL;2017-05-16

2. Parallelization Strategies for Spatial Agent-Based Models;International Journal of Parallel Programming;2016-01-19

3. Towards a Distributed Multiagent Travel Simulation;Agent and Multi-Agent Systems: Technologies and Applications;2015

4. Agent-based simulation for large-scale emergency response;ACM Computing Surveys;2012-11

5. QosCosGrid e-Science Infrastructure for Large-Scale Complex System Simulations;Large-Scale Computing;2012-04-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3