Abstract
In recent years, hydrological simulation has become an effective and significant method for achieving accurate and effective flood forecasting to decreasing losses of human’s belongings caused by floods disaster. In this paper, we will analyse challenging problems in large scale parallel hydrological simulation. As an important data structure for effective channel routing, river network codification methods will be introduced in Sect. 2. And some issues about parallel tasks decomposition methods and parallel simulation strategies will also be discussed in this paper. As an significant part of parallel issues, the comparison of static parallel tasks decomposition method and dynamic parallel tasks decomposition methods will be presented. At last, we discussed the pipline parallel strategy of hydrological simulation.
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The research is supported by National Key R&D Program of China No.2017YFB0203100 and 2017YFB0203103.
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Chu, G., Hu, C., Qin, X., Wu, J., Wu, Y. (2019). Research on Large Scale Parallel Hydrological Simulation. In: Hu, C., Yang, W., Jiang, C., Dai, D. (eds) High-Performance Computing Applications in Numerical Simulation and Edge Computing. HPCMS HiDEC 2018 2018. Communications in Computer and Information Science, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-32-9987-0_14
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DOI: https://doi.org/10.1007/978-981-32-9987-0_14
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