GPU-CA model for large-scale land-use change simulation  

作　　者：LI Dan LI Xia LIU XiaoPing CHEN YiMin LI ShaoYing LIU Kai QIAO JiGang ZHENG YiZhong ZHANG YiHan LAO ChunHua 

机构地区：[1]Guangdong Key Laboratory for Urbanization and Geo-simulation,School of Geography and Planning,Sun Yat-sen University,Guangzhou 510275,China [2]Guangzhou lnstitue of Geogrophy,Guangzhou 510070,China [3]Resource and Environment School,Guangdong University of Business Studies,Guangzhou 501320,China

出　　处：《Chinese Science Bulletin》2012年第19期2442-2452,共11页

基　　金：supported by the Key National Natural Science Foundation of China (40830532);the National Natural Science Foundation of China (40901187 and 41171308)

摘　　要：Land-use change simulation for large-scale regions(i.e.provincial regions or countries) is very useful for many global studies.Such simulation,however,is affected by computational capability of general computers.This paper proposes a method to implement cellular automata(CA) for land use change simulation based on graphics processing units(GPUs).This method can be applied to large-scale land-use change simulations by combining the latest GPU high-performance computing technology and CA.We carried out the experiments by simulating land-use change processes at a provincial scale.This involves a lot of sophisticated techniques,such as model mapping,and computational procedure of GPU-CA model.This proposed model has been validated by land-use change simulation in Guangdong Province,China.The comparison indicates that the GPU-CA model is faster than traditional CA by 30 times.Such improvement is crucial for land-use change simulations in provincial regions and countries.The outputs of the simulation can be further used to provide information to other global change models.Land-use change simulation for large-scale regions （i.e. provincial regions or countries） is very useful for many global studies. Such simulation, however, is affected by computational capability of general computers. This paper proposes a method to imple- ment cellular automata （CA） for land use change simulation based on graphics processing units （GPUs）. This method can be ap- plied to large-scale land-use change simulations by combining the latest GPU high-performance computing technology and CA. We carried out the experiments by simulating land-use change processes at a provincial scale. This involves a lot of sophisticated techniques, such as model mapping, and computational procedure of GPU-CA model. This proposed model has been validated by land-use change simulation in Guangdong Province, China. The comparison indicates that the GPU-CA model is faster than tradi- tional CA by 30 times. Such improvement is crucial for land-use change simulations in provincial regions and countries. The out- puts of the simulation can be further used to provide information to other global change models.

关 键 词：土地利用变化 模拟实验 CA模型 高性能计算技术 图形处理单元 元胞自动机 GPU 计算能力 

分 类 号：F301[经济管理—产业经济]