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...
Published in: | The International Journal of High Performance Computing Applications |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Sage Publications, Inc.
2012
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Online Access: | http://nldr.library.ucar.edu/repository/collections/OSGC-000-000-003-872 https://doi.org/10.1177/1094342012436965 |
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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 |
_version_ |
1776203656173977600 |