Repast HPC GPU Implementation of Massive Agent Model Using Repast HPC and GPU Shofuku Kin 1, Hidenori Kawamura 1, and Keiji Suzuki Hokkaid
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1 Repast HPC GPU Implementation of Massive Agent Model Using Repast HPC and GPU Shofuku Kin 1, Hidenori Kawamura 1, and Keiji Suzuki Hokkaido University Abstract: Multi-Agent Simulation (MAS) is efficient for analysis of various social mechanisms. Recently, there are many studies on massive agent model to explain more complex social phenomena. Then, we aim for implementation of large scale simulation model using Repast HPC toolkit, a platform for massive agent model. In this article, we build Schelling Segregation Model for spatial model using geospatial data provided OpenStreetMap, an open source project creating a free editable map. In this model, agents are located continuous space, not grid in original. When an agent is unhappy and migrate to new location, it costs agents some simulation time depending on distance between old location and new one. This article reports simulation results using Japanese cities and verification result about execution time. 1 (MAS) [6].,, MAS, [11],,, [7].,, [1]., [11],,, MAS, MAS MAS Repast HPC[14],NVIDIA GPU 14 9 kin@complex.ist.hokudai.ac.jp [9],, 2 Repast HPC 3 Repast HPC, MAS 4,, 5,,, 6 2 Repast HPC Repast HPC(High Performance Computing)[14], C++,HPC,MPI 3,,
2 2: 1: Repast HPC,, Repast HPC,. MAS,, [5]. Repast HPC,,, Repast HPC,,,,, 1 Repast HPC,.,,, MAS MAS,, [8, 3]. Swarm[4] 1994 MAS. MASON[2] JAVA, Swarm, ZASE(Zillions of Agents-based Simulation Environment)[11],, PC MAS SOARS(Spot Oriented Agent Role Simulator)[10], GUI,CD. 3.2 Repast HPC Repast HPC 2010,2013,,2
3 ,HPC Murphy[6],HPC,, Repast HPC,,,,,, CSS(Computational Social Science) Zia [12], (GIS : Geo Spatial System),, 4,, [9], Thomas C. Schelling,,, ,,, 3, 8 8,, (GIS),,,OSM(OpenStreetMap)[13] OSM, 3: 4:.osm OSM planet.osm xml,,,planet.osm osm,, node way node, ID,. way,,, node way,,way ID (closed way). 4 osm,.osm node way, 5, 5 1,,Left,Bottom, Right,Top 4,,Number of Residences,2 50, 100
4 5: : 6:,.,,.,, 5km 1,,., 4,,, 5, ,OSMOSIS Java planet.osm,,,,30%,40%, 50% 3 1 8,,, 9, 1,,,,,,,,, run, run, 10 11,,,run,,,Repast HPC API API,,API C++
5 City Sapporo Sendai Niigata Yokohama Kyoto Left Bottom Right Top Area (km 2 ) Number of Residences 1,698,750 1,445,642 1,904,392 1,421,162 1,935,092 1: 8: 9:, 6 MAS Repast HPC,,.,,100,,, [1] A.J.Heppenstall, A.T.Crooks, L.M.See & M.Batty : The integration of agent-based modelling and geographical information for geospatial simulation, Agent-based models of geographical systems, pp , (2012)
6 Society for Computer Simulation International, Vol. 82, Issue 9, pp , (2006) [9] Thomas C. Schelling : Dynamic Models of Segregation, The Journal of Mathematical Sociology, Volume 1, Issue 2, (1971) [10] Hideki Tanuma, Hiroshi Deguchi, Tetsuo Shimizu : SOARS : Spot Oriented Agent Role Simulator- Design and Implementation, Agent-Based Social Systems, Vol.1, pp 1-15, (2005) [11] Gaku Yamamoto, Hideki Tai, and Hideyuki Mizuta : A Platform for Massive Agent-Based Simulation and Its Evaluation, Massively Multi-Agent Technology, pp. 1-12, (2008) 10: [12] Zia, K. Riener, A. Farrahi, K. Ferscha, A : A New Opportunity to Urban Evacuation Analysis - Very Large Scale Simulations of Social Agent Systems in Repast HPC, Principles of Advanced and Distributed Simulation (PADS), 2012 ACM/IEEE/SCS 26th Workshop on, pp , (2012) [13] [14] HPC/Repast HPC 1.0.1/repasthpc tar.gz/ download 11: run [2] Sean Luke, Claudio Cioffi-revilla, Liviu Panait, Keith Sullivan : MASON : A Multiagent Simulation Environment, Simulation, Vol. 81, No. 7, (2005) [3] CM Macal, MJ North : Agent-based modeling and simulation, WSC 09 Winter Simulation Conference, pp 96-98, (2009) [4] Nelson Minar, Roger Burkhart, Chris Langton : The swarm simulation system: A toolkit for building multi-agent simulations, pp , (1996) [5],,, :, 2008, [6] John T. Murphy : Computational Social Science and High Performance Computing : A Case Study of a Simple Model at Large Scales, The Computational Social Science Society of the Americas, (2011) [7] Yuu Nakajima, Shohei Yamane, and Hiromitsu Hattori : Multi-model Based Simulation Platform for Urban Traffic Simulation, Principles and Practice of Multi-Agent Systems, pp , (2012) [8] Steven F. Railsback : Agent-based Simulation Platforms - Review and Development Recommendations,
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