Computational performance of ultra-high-resolution capability in the Community Earth System Model

With the fourth release of the Community Climate System Model, the ability to perform ultra-high resolution climate simulations is now possible, enabling eddy-resolving ocean and sea ice models to be coupled to a finite-volume atmosphere model for a range of atmospheric resolutions. This capability...

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Published in:The International Journal of High Performance Computing Applications
Other Authors: Dennis, John (author), Vertenstein, Mariana (author), Worley, Patrick (author), Mirin, Arthur (author), Craig, Anthony (author), Jacob, Robert (author), Mickelson, Sheri (author)
Format: Article in Journal/Newspaper
Language:English
Published: Sage Publications, Inc. 2012
Subjects:
Online Access:http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-003-872
https://doi.org/10.1177/1094342012436965
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spelling ftncar:oai:drupal-site.org:articles_17548 2023-09-05T13:23:04+02:00 Computational performance of ultra-high-resolution capability in the Community Earth System Model Dennis, John (author) Vertenstein, Mariana (author) Worley, Patrick (author) Mirin, Arthur (author) Craig, Anthony (author) Jacob, Robert (author) Mickelson, Sheri (author) 2012-02 http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-003-872 https://doi.org/10.1177/1094342012436965 en eng Sage Publications, Inc. The International Journal of High Performance Computing Applications http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-003-872 doi:10.1177/1094342012436965 ark:/85065/d71n82d7 Copyright 2012 Author(s). Published under license by SAGE. Text article 2012 ftncar https://doi.org/10.1177/1094342012436965 2023-08-14T18:45:36Z With the fourth release of the Community Climate System Model, the ability to perform ultra-high resolution climate simulations is now possible, enabling eddy-resolving ocean and sea ice models to be coupled to a finite-volume atmosphere model for a range of atmospheric resolutions. This capability was made possible by enabling the model to use large scale parallelism, which required a significant refactoring of the software infrastructure. We describe the scalability of two ultra-high-resolution coupled configurations on leadership class computing platforms. We demonstrate the ability to utilize over 30,000 processor cores on a Cray XT5 system and over 60,000 cores on an IBM Blue Gene/P system to obtain climatologically relevant simulation rates for these configurations. ATM0856145 U.S. Department of Energy (DOE): DE-FG02-06ER06-04 National Science Foundation (NSF): CCF-0937939 U.S. Department of Energy (DOE): DE-FC02-07ER64340 National Science Foundation (NSF): OCI-0749206 U.S. Department of Energy (DOE): DE-AC02-06CH11357 U.S. Department of Energy (DOE): DE-FC02-97ER62402 U.S. Department of Energy (DOE): DE-PS02-07ER07-06 Article in Journal/Newspaper Sea ice OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) The International Journal of High Performance Computing Applications 26 1 5 16
institution Open Polar
collection OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research)
op_collection_id ftncar
language English
description With the fourth release of the Community Climate System Model, the ability to perform ultra-high resolution climate simulations is now possible, enabling eddy-resolving ocean and sea ice models to be coupled to a finite-volume atmosphere model for a range of atmospheric resolutions. This capability was made possible by enabling the model to use large scale parallelism, which required a significant refactoring of the software infrastructure. We describe the scalability of two ultra-high-resolution coupled configurations on leadership class computing platforms. We demonstrate the ability to utilize over 30,000 processor cores on a Cray XT5 system and over 60,000 cores on an IBM Blue Gene/P system to obtain climatologically relevant simulation rates for these configurations. ATM0856145 U.S. Department of Energy (DOE): DE-FG02-06ER06-04 National Science Foundation (NSF): CCF-0937939 U.S. Department of Energy (DOE): DE-FC02-07ER64340 National Science Foundation (NSF): OCI-0749206 U.S. Department of Energy (DOE): DE-AC02-06CH11357 U.S. Department of Energy (DOE): DE-FC02-97ER62402 U.S. Department of Energy (DOE): DE-PS02-07ER07-06
author2 Dennis, John (author)
Vertenstein, Mariana (author)
Worley, Patrick (author)
Mirin, Arthur (author)
Craig, Anthony (author)
Jacob, Robert (author)
Mickelson, Sheri (author)
format Article in Journal/Newspaper
title Computational performance of ultra-high-resolution capability in the Community Earth System Model
spellingShingle Computational performance of ultra-high-resolution capability in the Community Earth System Model
title_short Computational performance of ultra-high-resolution capability in the Community Earth System Model
title_full Computational performance of ultra-high-resolution capability in the Community Earth System Model
title_fullStr Computational performance of ultra-high-resolution capability in the Community Earth System Model
title_full_unstemmed Computational performance of ultra-high-resolution capability in the Community Earth System Model
title_sort computational performance of ultra-high-resolution capability in the community earth system model
publisher Sage Publications, Inc.
publishDate 2012
url http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-003-872
https://doi.org/10.1177/1094342012436965
genre Sea ice
genre_facet Sea ice
op_relation The International Journal of High Performance Computing Applications
http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-003-872
doi:10.1177/1094342012436965
ark:/85065/d71n82d7
op_rights Copyright 2012 Author(s). Published under license by SAGE.
op_doi https://doi.org/10.1177/1094342012436965
container_title The International Journal of High Performance Computing Applications
container_volume 26
container_issue 1
container_start_page 5
op_container_end_page 16
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