Rapid Parallel Estimation of Global Ionospheric Model Based on Supercomputer

SHI Chuang; WANG Cheng; ZHANG Tao

doi:10.13203/j.whugis20180114

Volume 43 Issue 12

Dec. 2018

Turn off MathJax

Article Contents

Abstract

References

Geomatics and Information Science of Wuhan University > 2018 > 43(12): 2093-2098. > DOI: 10.13203/j.whugis20180114

SHI Chuang, WANG Cheng, ZHANG Tao. Rapid Parallel Estimation of Global Ionospheric Model Based on Supercomputer[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2093-2098. DOI: 10.13203/j.whugis20180114

Citation:

PDF (1876 KB)

Rapid Parallel Estimation of Global Ionospheric Model Based on Supercomputer

SHI Chuang^{1, 2,},
WANG Cheng^{2, 3, ,},
ZHANG Tao¹

1.
School of Electronic Information Engineering, Beihang University, Beijing 100083, China
2.
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
3.
Institute of Innovative Research in Frontier Science and Technology, Beihang University, Beijing 100083, China

Funds:

The National Natural Science Foundation of China 41804026

the National Key Research and Development Program of China 2016YFB0501802

More Information

Author Bio:
SHI Chuang, PhD, professor, National Distinguished Young Scholar, specializes in space geodesy and GNSS positioning and navigation. E-mail: shi@whu.edu.cn
Corresponding author:
WANG Cheng, PhD. E-mail: acex@foxmail.com
Received Date: August 22, 2018
Published Date: December 04, 2018

Graphical Abstract

Abstract

Abstract

An Algorithm of global ionospheric rapid modeling based on OpenMP and MPI (message passing interface) parallel computing is developed to meet the requirement of high performance computing for the massive data and reprocessing. The supercomputer of Wuhan University is used for modeling the global ionosphere with kinds of parallel computing approaches. The results indicate that it can significantly improve the efficiency of data processing by applying multi nodes with MPI parallel computing technology. Compared to traditional single node with serial computing and parallel computing, the efficiency has increased by 30 times and 3 to 4 times, respectively. The MPI parallel computing approach takes full advantage of rich computing resources to promote the efficiency of global ionospheric modeling. It is very useful for rapid test of algorithms and reprocessing of modeling. Also, it has reference significance to precise orbit determination of multi GNSS (Global Navigation Satellite System) as well as huge GNSS network solutions.
- global ionospheric model,
- supercomputer,
- parallel computing,
- multi threads

FullText(HTML)

References (10)

References

[1]	李征航, 张小红.卫星导航定位新技术及高精度数据处理方法[M].武汉:武汉大学出版社, 2009 Li Zhenghang, Zhang Xiaohong. New Techniques and Precise Data Processing Methods of Satellite Navigation and Positioning[M]. Wuhan:Wuhan University Press, 2009
[2]	Hernández-Pajares M, Juan J M, Sanz J, et al. The IGS VTEC Maps:A Reliable Source of Ionospheric Information Since 1998[J]. Journal of Geodesy, 2009, 83(3-4):263-275 doi: 10.1007/s00190-008-0266-1
[3]	Roma-Dollase D, Hernández-Pajares M, Krankowski A, et al. Consistency of Seven Different GNSS Global Ionospheric Mapping Techniques During One Solar Cycle[J]. Journal of Geodesy, 2017, 11(4):1394-1432 doi: 10.1007/s00190-017-1088-9
[4]	邹贤才, 李建成, 汪海洪, 等. OpenMP并行计算在卫星重力数据处理中的应用[J].测绘学报, 2010, 39(6):636-641 http://d.old.wanfangdata.com.cn/Periodical/chxb201006015 Zou Xiancai, Li Jiancheng, Wang Haihong, et al. Application of Parallel Computing with OpenMP in Data Processing for Satellite Gravity[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(6):636-641 http://d.old.wanfangdata.com.cn/Periodical/chxb201006015
[5]	王昌帅.并行卫星云导风算法研究[D].吉林: 吉林大学, 2016 http://cdmd.cnki.com.cn/Article/CDMD-10183-1016084496.htm Wang Changshuai, The Research on Parallel Algorithm of Satellite Cloud Motion Winds[D]. Jinlin: Jinlin Unviersity, 2016 http://cdmd.cnki.com.cn/Article/CDMD-10183-1016084496.htm
[6]	陈秋杰, 沈云中, 张兴福. MKL和OpenMP多核并行算法解算高阶地球重力场的效率分析[J].大地测量与地球动力学, 2012, 32(5):118-123 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK201205314823 Chen Qiujie, Shen Yunzhong, Zhang Xingfu. Ana-lysis of Efficiency of Applying MKL and OpenMP Polynuclear Parallel Algorithms to Recovery of High Degree Earth's Gravity Field[J]. Journal of Geodesy and Geodynamics, 2012, 32(5):118-123 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK201205314823
[7]	王成, 施闯, 章红平.全球电离层模型的OpenMP多线程并行解算[J].武汉大学学报·信息科学版, 2018, 43(6):813-819 http://ch.whu.edu.cn/CN/Y2018/V43/I6/813 Wang Cheng, Shi Chuang, Zhang Hongping. Multithreaded Parallel Estimation for Global Ionospheric Model by Using OpenMP[J]. Geomatics and Information Science of Wuhan University, 2018, 43(6):813-819 http://ch.whu.edu.cn/CN/Y2018/V43/I6/813
[8]	王成, 毛大智, 施闯, 等.全球电离层模型的分布式并行解算[J].武汉大学学报·信息科学版, 2018, 43(8):1207-1213 http://ch.whu.edu.cn/CN/Y2018/V43/I8/1207 Wang Cheng, Mao Dazhi, Shi Chuang, et al. Distributed Parallel Estimation for Global Ionospheric Modeling[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8):1207-1213 http://ch.whu.edu.cn/CN/Y2018/V43/I8/1207
[9]	Schaer S.Mapping and Predicting the Earth's Ionosphere Using the Global Positioning System[J]. Geod Geophys, 1999, 59:59 http://adsabs.harvard.edu/abs/1999GGAS...59.....S
[10]	王成, 王解先, 段兵兵.附有国际参考电离层约束的全球电离层模型[J].武汉大学学报·信息科学版, 2014, 39(11):1340-1346 http://ch.whu.edu.cn/CN/abstract/abstract3121.shtml Wang Cheng, Wang Jiexian, Duan Bingbing. Glo-bal Ionospheric Model with International Reference Ionosphere Constraint[J]. Geomatics and Information Science of Wuhan University, 2014, 39(11):1340-1346 http://ch.whu.edu.cn/CN/abstract/abstract3121.shtml

[1]	LI Pangyin, MI Xiaoxin, DING Penghui, SUN Weichen, ZHANG Huazu, LIU Chong, DONG Zhen, YANG Bisheng. Fusion of Vehicle-Mounted Imagery and Point Cloud for Road Boundary Extraction and Vectorization[J]. Geomatics and Information Science of Wuhan University, 2024, 49(4): 631-639. DOI: 10.13203/j.whugis20230284
[2]	XING Ruixing, WU Fang, ZHANG Hao, GONG Xianyong. Dual-carriageway Road Extraction Based on Facing Project Distance[J]. Geomatics and Information Science of Wuhan University, 2018, 43(1): 152-158. DOI: 10.13203/j.whugis20150783
[3]	Liu Yuangang, Guo Qingsheng, Sun Yageng, Lin Qing, Zheng Chunyan. An Algorithm for Skeleton Extraction Between Map Objects[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2): 264-268.
[4]	LUAN Xuechen, FAN Hongchao, YANG Bisheng, LI Qiuping. Arterial Roads Extraction in Urban Road NetworksBased on Shape Analysis[J]. Geomatics and Information Science of Wuhan University, 2014, 39(3): 327-331. DOI: 10.13203/j.whugis20120078
[5]	YU Jie, YU Feng, ZHANG Jing, LIU Zhenyu. High Resolution Remote Sensing Image Road Extraction Combining Region Growing and Road-unit[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7): 761-764.
[6]	TIAN Jing, SONG Zihan, AI Tinghua. Grid Pattern Extraction in Road Networks with Graph[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 724-727.
[7]	WU Xiaobo, YANG Liao, SHEN Jinxiang, WANG Jie. Road Extraction from High-resolution Remote Sensing Images with Spatial Continuity[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1298-1301.
[8]	LI Jiatian, LI Jia, DUAN Ping, YU Li. Perspective Projection Algorithm for Sphere Delaunay Triangulated Irregular Network[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1116-1119.
[9]	CHEN Tao, AI Tinghua. Automatic Extraction of Skeleton and Center of Area Feature[J]. Geomatics and Information Science of Wuhan University, 2004, 29(5): 443-446,455. DOI: 10.13203/j.whugis2004.05.015
[10]	Liu Shaochuang, Lin Zongjian. Semi automatic Road Extraction from Aerial Images[J]. Geomatics and Information Science of Wuhan University, 1996, 21(3): 258-264.

Cited By

Cited by

Periodical cited type(1)

陈星铨，朱俊江，朱庆龙，焦钰涵，丁小笑，刘政渊，丁咚，贾永刚，李三忠，刘永江. 南海多波束测量中水深数据异常的精细处理与成因分析. 地球科学. 2025(02): 535-550 .

Other cited types(0)

Get Citation

PDF

XML

Article views (1010) PDF downloads (199) Cited by(1)

Rapid Parallel Estimation of Global Ionospheric Model Based on Supercomputer

Abstract

References

Related Articles

Cited by

Periodical cited type(1)

Other cited types(0)

Catalog

Related

Rapid Parallel Estimation of Global Ionospheric Model Based on Supercomputer

Abstract

References

Related Articles

Cited by

Periodical cited type(1)

Other cited types(0)

Catalog

Related

Export File

Citation

Format

Content