Porting a process-based crop model to a high-performance computing environment for plant simulation
文献类型：会议论文
| 作者 | Yu Qiang |
| 出版日期 | 2012 |
| 会议名称 | 2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2012, October 31, 2012 - November 3, 2012 |
| 会议地点 | Shanghai, China |
| 关键词 | Computer simulation Agriculture Food supply Parallel programming Sustainable development Visualization |
| 页码 | 462-465 |
| 英文摘要 | Increasing concerns about food security have stimulated integrated assessment of the sustainability of agricultural systems at regional, national and global scales with high-resolution. Traditionally, the process-based agricultural models are designed for field scale studies that obtain inputs, run the simulations and provide outputs through the graphic interface. The graphic interface based model dose not suit for modelling practices requiring a large number of simulations. Here, we developed a high performance approach which concurrently executed the Agricultural Production Systems sIMulator (APSIM) simulations using parallel programming techniques. In this approach, an APSIM simulation template with replaceable parameters was firstly designed, and new simulations based on the template was then constructed by dynamically replacing parameters of climate, soil and management options. We parallelized the batched running method in a shared-memory multiprocessor system using Python's Multiprocessing module. We tested the approach with a case study that simulated the productivity of continuous wheat cropping system during 20 years period along the Australian cereal-growing regions under management practices of 5 levels nitrogen application and 3 stubble management practices. More than 170 K runs were finished in 43h by using 64 workers, achieved a speedup ratio of 60. The parallelized method proposed in this study makes large-scale and high-resolution agricultural systems assessment possible. 2012 IEEE. |
| 收录类别 | EI |
| 会议录出版者 | IEEE Computer Society |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/31062]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Yu Qiang. Porting a process-based crop model to a high-performance computing environment for plant simulation[C]. 见:2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2012, October 31, 2012 - November 3, 2012. Shanghai, China. |
入库方式： OAI收割
来源：地理科学与资源研究所
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