Article: Dynamic parallelization of hydrological model simulations

File Download Links for fulltext
(May Require Subscription)
Supplementary
  • Basic View
  • Metadata View
  • XML View
TitleDynamic parallelization of hydrological model simulations
AuthorsLi, T1 2
Wang, G2
Chen, J1
Wang, H2
KeywordsBasin width function
Digital drainage network
Domain decomposition
Dynamic parallelization
Master-slave paradigm
Modified binary-tree codification
Issue Date2011
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envsoft
CitationEnvironmental Modelling And Software, 2011, v. 26 n. 12, p. 1736-1746 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.envsoft.2011.07.015
AbstractThis 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 etal. (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. © 2011 Elsevier Ltd.
ISSN1364-8152
2011 Impact Factor: 3.114
2011 SCImago Journal Rankings: 0.085
DOIhttp://dx.doi.org/10.1016/j.envsoft.2011.07.015
ISI Accession Number IDWOS:000298270300031
Funding AgencyGrant Number
National Key Basic Research Program of China2007CB714100
2011CB409901
Ministry of Water Resources of China200901016
200901019
Funding Information:

This research was supported by the National Key Basic Research Program of China (Grant No. 2007CB714100, 2011CB409901) and the Non-profit Fund Program of the Ministry of Water Resources of China (Grant No. 200901016, 200901019). The authors are grateful for the constructive comments and suggestions from two anonymous reviewers and the Editor, Dr. Rizzoli.

ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorLi, T
dc.contributor.authorWang, G
dc.contributor.authorChen, J
dc.contributor.authorWang, H
dc.date.accessioned2011-09-23T05:44:59Z
dc.date.available2011-09-23T05:44:59Z
dc.date.issued2011
dc.description.abstractThis 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 etal. (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. © 2011 Elsevier Ltd.
dc.description.naturepostprint
dc.identifier.citationEnvironmental Modelling And Software, 2011, v. 26 n. 12, p. 1736-1746 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.envsoft.2011.07.015
dc.identifier.doihttp://dx.doi.org/10.1016/j.envsoft.2011.07.015
dc.identifier.epage1746
dc.identifier.hkuros207996
dc.identifier.isiWOS:000298270300031
Funding AgencyGrant Number
National Key Basic Research Program of China2007CB714100
2011CB409901
Ministry of Water Resources of China200901016
200901019
Funding Information:

This research was supported by the National Key Basic Research Program of China (Grant No. 2007CB714100, 2011CB409901) and the Non-profit Fund Program of the Ministry of Water Resources of China (Grant No. 200901016, 200901019). The authors are grateful for the constructive comments and suggestions from two anonymous reviewers and the Editor, Dr. Rizzoli.

dc.identifier.issn1364-8152
2011 Impact Factor: 3.114
2011 SCImago Journal Rankings: 0.085
dc.identifier.issue12
dc.identifier.scopuseid_2-s2.0-84855511358
dc.identifier.spage1736
dc.identifier.urihttp://hdl.handle.net/10722/139104
dc.identifier.volume26
dc.languageeng
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envsoft
dc.publisher.placeUnited Kingdom
dc.relation.ispartofEnvironmental Modelling and Software
dc.relation.referencesReferences in Scopus
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Environmental Modelling & Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Modelling & Software, 2011, v. 26 n. 12, p. 1736-1746. DOI: 10.1016/j.envsoft.2011.07.015
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
dc.subjectBasin width function
dc.subjectDigital drainage network
dc.subjectDomain decomposition
dc.subjectDynamic parallelization
dc.subjectMaster-slave paradigm
dc.subjectModified binary-tree codification
dc.titleDynamic parallelization of hydrological model simulations
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. Tsinghua University