A Real Application of the Model Coupling Toolkit

The high degree of computational complexity of atmosphere and ocean general circulation models, land-surface models, and dynamical sea-ice models makes coupled climate modeling a grand-challenge problem in high-performance computing. On distributed-memory parallel computers, a coupled model comprise...

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Main Authors: Everest T. Ong, J. Walter Larson, Robert L. Jacob
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.1385
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.15.1385 2023-05-15T18:18:13+02:00 A Real Application of the Model Coupling Toolkit Everest T. Ong J. Walter Larson Robert L. Jacob The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.1385 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.1385 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://info.mcs.anl.gov/pub/tech_reports/reports/P929.pdf text ftciteseerx 2016-01-07T15:16:23Z The high degree of computational complexity of atmosphere and ocean general circulation models, land-surface models, and dynamical sea-ice models makes coupled climate modeling a grand-challenge problem in high-performance computing. On distributed-memory parallel computers, a coupled model comprises multiple message-passingparallel models, each of which must exchange data among themselves or through a special component called a coupler. The Model Coupling Toolkit (MCT) is a set of Fortran90 objects that can be used to easily create low bandwidth parallel data exchange algorithms and other functions of a parallel coupler. In this paper we describe the MCT, how it vas employed to implement some of the important functions found in the flux coupler for the Parallel Climate Model(PCM), and compare the per- formance of MCT-based PCM functions with their PCM counterparts. Text Sea ice Unknown
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description The high degree of computational complexity of atmosphere and ocean general circulation models, land-surface models, and dynamical sea-ice models makes coupled climate modeling a grand-challenge problem in high-performance computing. On distributed-memory parallel computers, a coupled model comprises multiple message-passingparallel models, each of which must exchange data among themselves or through a special component called a coupler. The Model Coupling Toolkit (MCT) is a set of Fortran90 objects that can be used to easily create low bandwidth parallel data exchange algorithms and other functions of a parallel coupler. In this paper we describe the MCT, how it vas employed to implement some of the important functions found in the flux coupler for the Parallel Climate Model(PCM), and compare the per- formance of MCT-based PCM functions with their PCM counterparts.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Everest T. Ong
J. Walter Larson
Robert L. Jacob
spellingShingle Everest T. Ong
J. Walter Larson
Robert L. Jacob
A Real Application of the Model Coupling Toolkit
author_facet Everest T. Ong
J. Walter Larson
Robert L. Jacob
author_sort Everest T. Ong
title A Real Application of the Model Coupling Toolkit
title_short A Real Application of the Model Coupling Toolkit
title_full A Real Application of the Model Coupling Toolkit
title_fullStr A Real Application of the Model Coupling Toolkit
title_full_unstemmed A Real Application of the Model Coupling Toolkit
title_sort real application of the model coupling toolkit
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.1385
genre Sea ice
genre_facet Sea ice
op_source ftp://info.mcs.anl.gov/pub/tech_reports/reports/P929.pdf
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