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

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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

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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

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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

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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

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