Zhaoya Gong

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Parallel agent-based simulation of individual-level spatial interactions within a multicore computing environment Zhaoya Gong a , Wenwu Tang a b , David A. Bennett c & JeanClaude Thill a a Department of Geography and Earth Sciences , University of North Carolina at Charlotte , Charlotte , NC , USA b Center for Applied Geographic Information Science ,(More)
Artificial neural networks have been widely applied to spatial modeling and knowledge discovery because of their high-level intelligence and flexibility. Their highly parallel and distributed structure makes them inherently suitable for parallel computing. As the technology of parallel and high-performance computing evolves and computing resources become(More)
Spatially explicit agent-based models have a great potential to mitigate their computational costs by taking advantage of parallel and high-performance computing. However, the spatial dependency and heterogeneity of interactions pose challenges for parallel SE-ABMs to achieve good scalability. This paper applies the principle of data locality to tackle(More)
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