IIIT Hyderabad Publications |
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High Performance Multi-agent System based SimulationsAuthor: Prashant Sethia Date: 2011-06-28 Report no: IIIT/TH/2011/26 Advisor:Kamalakar Karlapalem AbstractReal-life city-traffic simulation presents a good example of multi-agent simulations involving a large number of agents (each human modelled as an individual agent). Analysis of emergent behaviors in social simulations largely depends on the number of agents involved (more than 100,000 agents at least). Due to large number of agents involved, it takes several seconds or even minutes to simulate a single second of real-life. Hence, we resort to distributed computing to speed-up the simulations. We used Hadoop to manage and execute multi-agent application on a small cloud of computers and used CUDA framework to develop an agent-simulation model on GPUs. Full thesis: pdf Centre for Data Engineering |
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