Rapid Parallel Estimation of Global Ionospheric Model Based on Supercomputer

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.