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Content Provider | IEEE Xplore Digital Library |
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Author | Suzumura, Toyotaro Houngkaew, Charuwat Kanezashi, Hiroki |
Copyright Year | 2014 |
Description | Author affiliation: IBM Research, Smarter Cities Technology Center, University College Dublin, Damastown Industrial Estate, Mulhuddart Dublin 15, IRELAND (Suzumura, Toyotaro) || Tokyo Institute of Technology, 2-12-1 Oo-okayama, Meguro JAPAN (Houngkaew, Charuwat; Kanezashi, Hiroki) |
Abstract | Many social simulations can be represented using mobile-agent-based model in which agents moving around on a given space such as evacuations, traffic flow and epidemics. Whole planet simulation with billions of agents at microscopic level helps mitigate the global crisis. It introduces new technical challenges such as processing and migrating many agents and load balancing among hundreds of machines. To overcome these challenges, well-designed software architecture of a simulator is essential. In this research, we proposed agent-based complex cellular automata architecture (ABCCA) and studied the performance and scalability of two cell-based processing models, through simple traffic flow simulation on multi-core distributed system. The experiments show that the computation speedup can be achieved by reducing granularity of tasks and processing only active spaces. We achieved running the traffic flow simulation with one billion of agents in almost real time on 1,536 CPU cores of total 128 machines of TSUBAME supercomputer. |
Starting Page | 781 |
Ending Page | 792 |
File Size | 1224944 |
Page Count | 12 |
File Format | |
e-ISBN | 9781479974863 |
DOI | 10.1109/WSC.2014.7019940 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-12-07 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computational modeling Automata Load modeling Mathematical model Synchronization Data models Object oriented modeling |
Content Type | Text |
Resource Type | Article |
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