A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ...
This paper presents the work of the "Scalable-Earth-System-Models for high productivity climate simulations" project in improving the linear solver of the barotropic sub-system in the global ocean/sea-ice model MPIOM developed by the Max-Planck-Institute in Hamburg, Germany. We demonstrate...
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ftdatacite:10.11588/emclpp.2011.02.11696 2023-08-27T04:11:54+02:00 A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ... Adamidis, Panagiotis Heuveline, Vincent Wilhelm, Florian 2011 https://dx.doi.org/10.11588/emclpp.2011.02.11696 http://journals.ub.uni-heidelberg.de/index.php/emcl-pp/article/view/11696 en eng University Library Heidelberg http://journals.ub.uni-heidelberg.de/index.php/emcl-pp/issue/view/1407 http://journals.ub.uni-heidelberg.de/index.php/emcl-pp/article/view/11696/5552 Published on the Internet under the following Creative Commons License: http://creativecommons.org/licenses/by-nc-nd/3.0/de Journal Article article-journal ScholarlyArticle Text 2011 ftdatacite https://doi.org/10.11588/emclpp.2011.02.11696 2023-08-07T14:24:23Z This paper presents the work of the "Scalable-Earth-System-Models for high productivity climate simulations" project in improving the linear solver of the barotropic sub-system in the global ocean/sea-ice model MPIOM developed by the Max-Planck-Institute in Hamburg, Germany. We demonstrate the implementation of the conjugate gradient method and an incomplete Cholesky preconditioner with fill-in p in order to achieve high scalability and performance on an IBM POWER6 based supercomputer. Benchmarks of the new solver compared to the traditionally used Successive-Over-Relaxation-Method are given and analyzed with respect to the number of iterations and runtime. ... Article in Journal/Newspaper Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
This paper presents the work of the "Scalable-Earth-System-Models for high productivity climate simulations" project in improving the linear solver of the barotropic sub-system in the global ocean/sea-ice model MPIOM developed by the Max-Planck-Institute in Hamburg, Germany. We demonstrate the implementation of the conjugate gradient method and an incomplete Cholesky preconditioner with fill-in p in order to achieve high scalability and performance on an IBM POWER6 based supercomputer. Benchmarks of the new solver compared to the traditionally used Successive-Over-Relaxation-Method are given and analyzed with respect to the number of iterations and runtime. ... |
format |
Article in Journal/Newspaper |
author |
Adamidis, Panagiotis Heuveline, Vincent Wilhelm, Florian |
spellingShingle |
Adamidis, Panagiotis Heuveline, Vincent Wilhelm, Florian A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ... |
author_facet |
Adamidis, Panagiotis Heuveline, Vincent Wilhelm, Florian |
author_sort |
Adamidis, Panagiotis |
title |
A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ... |
title_short |
A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ... |
title_full |
A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ... |
title_fullStr |
A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ... |
title_full_unstemmed |
A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ... |
title_sort |
high-efficient scalable solver for the global ocean/sea-ice model mpiom ... |
publisher |
University Library Heidelberg |
publishDate |
2011 |
url |
https://dx.doi.org/10.11588/emclpp.2011.02.11696 http://journals.ub.uni-heidelberg.de/index.php/emcl-pp/article/view/11696 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://journals.ub.uni-heidelberg.de/index.php/emcl-pp/issue/view/1407 http://journals.ub.uni-heidelberg.de/index.php/emcl-pp/article/view/11696/5552 |
op_rights |
Published on the Internet under the following Creative Commons License: http://creativecommons.org/licenses/by-nc-nd/3.0/de |
op_doi |
https://doi.org/10.11588/emclpp.2011.02.11696 |
_version_ |
1775355548611379200 |