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计算机工程 ›› 2008, Vol. 34 ›› Issue (17): 4-6. doi: 10.3969/j.issn.1000-3428.2008.17.002

• 博士论文 • 上一篇    下一篇

区域分解对气象模式并行计算速度的影响

臧增亮1,2,饶宣锐3,潘晓滨1,张理论4,王春明1,何宏让1   

  1. (1. 解放军理工大学气象学院,南京 211101;2. 中国科学院大气物理研究所LASG实验室,北京 100029; 3. 二炮装备研究院,北京 100085;4. 国防科技大学计算机学院,长沙 410073)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-09-05 发布日期:2008-09-05

Influence of Domain Decomposition on Parallel Computation Speed of Meteorological Model

ZANG Zeng-liang1,2, RAO Xuan-rui3, PAN Xiao-bin1, ZHANG Li-lun4, WANG Chun-ming1, HE Hong-rang1   

  1. (1. Meteorological College, PLA University of Science and Technology, Nanjing 211101; 2. LASG Lab, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; 3. Equipment Research Institute of PLA’s Second Artillery, Beijing 100085; 4. School of Computer Science, National University of Defense Technology, Changsha 410073)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-09-05 Published:2008-09-05

摘要: 通过数值试验分析了区域分解策略对ARPS气象模式并行计算速度的影响,发现无论是否使用编译优化技术,均以分解后数据区域近似为正方形时具有最大的加速比和并行效率。在二级编译优化的情况下,并行速度还和分解方向有关,在y方向上的分解比在x方向上的分解更有利于提高并行效率,而在无优化情况下,并行速度和分解方向几乎无关。并从通信量和编译优化的角度对试验结果进行了讨论和分析。

关键词: 区域分解, 数值模式, 并行计算

Abstract: The influence of domain decomposition on the parallel computation speed of ARPS model is analyzed on the base of some experiments. Results show that the subdomains similar to square possess the biggest acceleration rate and efficiency of parallel whether the optimization lever -o2 is applied to or not. Under the circumstances of optimization lever -o2, parallel speed also relates to decomposition direction. The decomposition along y direction is preferable to that along x direction for improving in parallel efficiency. However, under the circumstances without optimization, parallel speed is almost independent of decomposition direction. Furthermore, experimental results are discussed in the paper from the angles of communications traffic and optimization.

Key words: domain decomposition, numerical model, parallel computation

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