Zhaoya Gong

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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)
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)
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