| GPU-CA模型下的溃坝洪水演进实时模拟与分析 |
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| 引用本文： | 尹灵芝, 朱军, 王金宏, 李毅, 徐柱, 曹振宇. GPU-CA模型下的溃坝洪水演进实时模拟与分析[J]. 武汉大学学报 ( 信息科学版), 2015, 40(8): 1123-1129. DOI: 10.13203/j.whugis20140302 |
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| 作者姓名： | 尹灵芝 朱军 王金宏 李毅 徐柱 曹振宇 |
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| 作者单位： | 1西南交通大学地球科学与环境工程学院,四川成都,6117562四川省应急测绘与防灾减灾工程技术研究中心,四川成都,6100413壳牌中国勘探与生产有限公司,北京,1000044中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京,1001015轨道交通安全协同创新中心,四川成都,610031 |
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| 基金项目： | 国家重点基础研究发展计划资助项目(2015CB954101)；国家自然科学基金资助项目(41271389,41001252)；长江学者和创新团队发展计划资助项目(IRT13092)；测绘地理信息公益性行业科研专项项目支持资助项目(201412010)；西南交通大学研究生创新实验实践资助项目(YC201414233) |
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| 摘 要： | 基于元胞自动机(CA)的局部并行计算特性和统一计算设备架构(CUDA)并行计算架构,提出了GPU-CA的溃坝洪水演进计算模型,重点探讨了溃坝洪水演进元胞自动机模型、GPU模型映射、计算优化、CPU/GPU协同的溃坝洪水演进模拟与分析等关键问题,研发了原型系统,并选择了案例进行初步试验。试验结果表明,在保证溃坝洪水演进模拟结果有效性的情况下,与基于CPU-CA串行计算模式相比,基于GPU-CA的溃坝洪水演进模型计算可提高计算效率,加速比随着元胞格网分辨率的提升而增加,当元胞格网的大小为10m时,模型计算效率的加速比可以达到15.9倍,可支持实时溃坝洪水演进模拟分析与风险评估。
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| 关 键 词： | 溃坝洪水演进 元胞自动机 并行计算 CUDA 模拟分析 |
| 收稿时间： | 2014-04-14 |
| 修稿时间： | 2015-08-05 |
Real-time Simulation and Analysis of Dam-break Flood Routing Based on GPU-CA Model |
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| YIN Lingzhi, ZHU Jun, WANG Jinhong, LI Yi, XU Zhu, CAO Zhenyu. Real-time Simulation and Analysis of Dam-break Flood Routing Based on GPU-CA Model[J]. Geomatics and Information Science of Wuhan University, 2015, 40(8): 1123-1129. DOI: 10.13203/j.whugis20140302 |
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| Authors: | YIN Lingzhi ZHU Jun WANG Jinhong LI Yi XU Zhu CAO Zhenyu |
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| Affiliation: | 1Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;2Sichuan Engineering Research Center for Emergency Mapping &Disaster Reduction,Chengdu 610041,China;3Shell China Exploration and Production Co.Ltd.,Beijing 100004,China;4State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,;(Chinese Academy of Sciences,Beijing 100101,China;5Collaborative Innovation Center for Rail Transportation Safety,Chengdu 610031,China |
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| Abstract: | Based on the natural similarity between the parallel computing features of cellular automataand the parallel computing architecture of the CUDA,a dam-break flood routing computing modelbased on GPU-CA is proposed.Key technologies including cellular automata(CA)model of dam-break flood routing,GPU model mapping method,calculation optimization method,and GPU/CPUcollaborative implementation for dam-break flood routing simulation and analysis are discussed in de-tail.Finally,aprototype system was developed and a case study region selected for carrying out a pre-liminary experiment.As compared to the CPU-CA model computing,the experimental results showedthat the dam-break flood routing computing based on GPU-CA model can greatly improve the computing efficiency,and also ensured the validity of the simulation results.Speedup can be improved by in-creasing the cellular grid resolution.When the cellular grid size was 10m,the speedup of model calcu-lation reached 15.9times,which can support real-time simulation analysis and risk assessment fordam-break flood routing. |
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| Keywords: | dam-break flood routing cellular automata parallel computing CUDA(Compute UnifiedDevice Architecture) simulation analysis |
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