Dynamic parallelization of hydrological model simulations

This paper introduces the development of a dynamic parallel algorithm for conducting hydrological model simulations. This new algorithm consists of a river network decomposition method and an enhanced master–slave paradigm. The decomposition method is used to divide a basin river network into a larg...

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Vydané v:	Environmental modelling & software : with environment data news Ročník 26; číslo 12; s. 1736 - 1746
Hlavní autori:	Li, Tiejian, Wang, Guangqian, Chen, Ji, Wang, Hao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2011
Predmet:	Algorithms Basin width function Basins case studies China Computation Computer simulation computer software Digital drainage network Domain decomposition drainage Dynamic parallelization Dynamics hydrologic models Hydrology Master–slave paradigm Mathematical analysis Modified binary-tree codification Networks rivers simulation models watershed hydrology watersheds Yellow River China Yellow River China, People's Rep., Huang He R Dynamic parallelization Digital drainage network Domain decomposition Modified binary-tree codification Master–slave paradigm Basin width function
ISSN:	1364-8152, 1873-6726
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Abstract	This paper introduces the development of a dynamic parallel algorithm for conducting hydrological model simulations. This new algorithm consists of a river network decomposition method and an enhanced master–slave paradigm. The decomposition method is used to divide a basin river network into a large number of subbasins, and the enhanced master–slave paradigm is adopted to realize the function of this new dynamic basin decomposition method through using the Message-Passing Interface (MPI) and C++ language. This new algorithm aims to balance computation load and then to achieve a higher speedup and efficiency of parallel computing in hydrological simulation for the river basins which are delineated by high-resolution drainage networks. This paper uses a modified binary-tree codification method developed by Li et al. (2010) to code drainage networks, and the basin width function to estimate the possible maximum parallel speedup and the associated efficiency. As a case study, with a hydrological model, the Digital Yellow River Model, this new dynamic parallel algorithm is applied to the Chabagou basin in northern China. The application results reveal that the new algorithm is efficient in the dynamic dispatching of simulation tasks to computing processes, and that the parallel speedup and efficiency are comparable with the estimations made by using the basin width function. ► A dynamic parallel algorithm for hydrological models was developed. ► The main goal of the new algorithm is to balance parallel computation load. ► A master–slave paradigm was enhanced for dynamic decomposing a river basin. ► The width function was used to estimate the possible maximum speedup and efficiency.
AbstractList	This paper introduces the development of a dynamic parallel algorithm for conducting hydrological model simulations. This new algorithm consists of a river network decomposition method and an enhanced master-slave paradigm. The decomposition method is used to divide a basin river network into a large number of subbasins, and the enhanced master-slave paradigm is adopted to realize the function of this new dynamic basin decomposition method through using the Message-Passing Interface (MPI) and C++ language. This new algorithm aims to balance computation load and then to achieve a higher speedup and efficiency of parallel computing in hydrological simulation for the river basins which are delineated by high-resolution drainage networks. This paper uses a modified binary-tree codification method developed by to code drainage networks, and the basin width function to estimate the possible maximum parallel speedup and the associated efficiency. As a case study, with a hydrological model, the Digital Yellow River Model, this new dynamic parallel algorithm is applied to the Chabagou basin in northern China. The application results reveal that the new algorithm is efficient in the dynamic dispatching of simulation tasks to computing processes, and that the parallel speedup and efficiency are comparable with the estimations made by using the basin width function. This paper introduces the development of a dynamic parallel algorithm for conducting hydrological model simulations. This new algorithm consists of a river network decomposition method and an enhanced master–slave paradigm. The decomposition method is used to divide a basin river network into a large number of subbasins, and the enhanced master–slave paradigm is adopted to realize the function of this new dynamic basin decomposition method through using the Message-Passing Interface (MPI) and C++ language. This new algorithm aims to balance computation load and then to achieve a higher speedup and efficiency of parallel computing in hydrological simulation for the river basins which are delineated by high-resolution drainage networks. This paper uses a modified binary-tree codification method developed by Li et al. (2010) to code drainage networks, and the basin width function to estimate the possible maximum parallel speedup and the associated efficiency. As a case study, with a hydrological model, the Digital Yellow River Model, this new dynamic parallel algorithm is applied to the Chabagou basin in northern China. The application results reveal that the new algorithm is efficient in the dynamic dispatching of simulation tasks to computing processes, and that the parallel speedup and efficiency are comparable with the estimations made by using the basin width function. This paper introduces the development of a dynamic parallel algorithm for conducting hydrological model simulations. This new algorithm consists of a river network decomposition method and an enhanced master–slave paradigm. The decomposition method is used to divide a basin river network into a large number of subbasins, and the enhanced master–slave paradigm is adopted to realize the function of this new dynamic basin decomposition method through using the Message-Passing Interface (MPI) and C++ language. This new algorithm aims to balance computation load and then to achieve a higher speedup and efficiency of parallel computing in hydrological simulation for the river basins which are delineated by high-resolution drainage networks. This paper uses a modified binary-tree codification method developed by Li et al. (2010) to code drainage networks, and the basin width function to estimate the possible maximum parallel speedup and the associated efficiency. As a case study, with a hydrological model, the Digital Yellow River Model, this new dynamic parallel algorithm is applied to the Chabagou basin in northern China. The application results reveal that the new algorithm is efficient in the dynamic dispatching of simulation tasks to computing processes, and that the parallel speedup and efficiency are comparable with the estimations made by using the basin width function. This paper introduces the development of a dynamic parallel algorithm for conducting hydrological model simulations. This new algorithm consists of a river network decomposition method and an enhanced master–slave paradigm. The decomposition method is used to divide a basin river network into a large number of subbasins, and the enhanced master–slave paradigm is adopted to realize the function of this new dynamic basin decomposition method through using the Message-Passing Interface (MPI) and C++ language. This new algorithm aims to balance computation load and then to achieve a higher speedup and efficiency of parallel computing in hydrological simulation for the river basins which are delineated by high-resolution drainage networks. This paper uses a modified binary-tree codification method developed by Li et al. (2010) to code drainage networks, and the basin width function to estimate the possible maximum parallel speedup and the associated efficiency. As a case study, with a hydrological model, the Digital Yellow River Model, this new dynamic parallel algorithm is applied to the Chabagou basin in northern China. The application results reveal that the new algorithm is efficient in the dynamic dispatching of simulation tasks to computing processes, and that the parallel speedup and efficiency are comparable with the estimations made by using the basin width function. ► A dynamic parallel algorithm for hydrological models was developed. ► The main goal of the new algorithm is to balance parallel computation load. ► A master–slave paradigm was enhanced for dynamic decomposing a river basin. ► The width function was used to estimate the possible maximum speedup and efficiency.
Author	Wang, Guangqian Chen, Ji Li, Tiejian Wang, Hao
Author_xml	– sequence: 1 givenname: Tiejian surname: Li fullname: Li, Tiejian email: litiejian@tsinghua.edu.cn organization: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China – sequence: 2 givenname: Guangqian surname: Wang fullname: Wang, Guangqian email: dhhwgq@tsinghua.edu.cn organization: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China – sequence: 3 givenname: Ji surname: Chen fullname: Chen, Ji email: jichen@hku.hk organization: Department of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China – sequence: 4 givenname: Hao surname: Wang fullname: Wang, Hao email: wanghao@sinohydro.com organization: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China
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Snippet	This paper introduces the development of a dynamic parallel algorithm for conducting hydrological model simulations. This new algorithm consists of a river...
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SubjectTerms	Algorithms Basin width function Basins case studies China Computation Computer simulation computer software Digital drainage network Domain decomposition drainage Dynamic parallelization Dynamics hydrologic models Hydrology Master–slave paradigm Mathematical analysis Modified binary-tree codification Networks rivers simulation models watershed hydrology watersheds Yellow River
Title	Dynamic parallelization of hydrological model simulations
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