Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2)
A study of the scalability of the Finite-volumE Sea ice–Ocean circulation Model, Version 2.0 (FESOM2), the first mature global model of its kind formulated on unstructured meshes, is presented. This study includes an analysis of the main computational kernels with a special focus on bottlenecks in p...
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ftdoajarticles:oai:doaj.org/article:e8f1e396cc284ebbb6944101c96f42ca 2023-05-15T18:17:29+02:00 Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) N. V. Koldunov V. Aizinger N. Rakowsky P. Scholz D. Sidorenko S. Danilov T. Jung 2019-09-01T00:00:00Z https://doi.org/10.5194/gmd-12-3991-2019 https://doaj.org/article/e8f1e396cc284ebbb6944101c96f42ca EN eng Copernicus Publications https://www.geosci-model-dev.net/12/3991/2019/gmd-12-3991-2019.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-12-3991-2019 1991-959X 1991-9603 https://doaj.org/article/e8f1e396cc284ebbb6944101c96f42ca Geoscientific Model Development, Vol 12, Pp 3991-4012 (2019) Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/gmd-12-3991-2019 2022-12-30T21:09:28Z A study of the scalability of the Finite-volumE Sea ice–Ocean circulation Model, Version 2.0 (FESOM2), the first mature global model of its kind formulated on unstructured meshes, is presented. This study includes an analysis of the main computational kernels with a special focus on bottlenecks in parallel scalability. Several model enhancements improving this scalability for large numbers of processes are described and tested. Model grids at different resolutions are used on four high-performance computing (HPC) systems with differing computational and communication hardware to demonstrate the model's scalability and throughput. Furthermore, strategies for improvements in parallel performance are presented and assessed. We show that, in terms of throughput, FESOM2 is on a par with state-of-the-art structured ocean models and, in a realistic eddy-resolving configuration (1/10 ∘ resolution), can achieve about 16 years per day on 14 000 cores. This suggests that unstructured-mesh models are becoming very competitive tools in high-resolution climate modeling. We show that the main bottlenecks of FESOM2 parallel scalability are the two-dimensional components of the model, namely the computations of the external (barotropic) mode and the sea-ice model. It is argued that these bottlenecks are shared with other general ocean circulation models. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 12 9 3991 4012 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
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Geology QE1-996.5 N. V. Koldunov V. Aizinger N. Rakowsky P. Scholz D. Sidorenko S. Danilov T. Jung Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) |
topic_facet |
Geology QE1-996.5 |
description |
A study of the scalability of the Finite-volumE Sea ice–Ocean circulation Model, Version 2.0 (FESOM2), the first mature global model of its kind formulated on unstructured meshes, is presented. This study includes an analysis of the main computational kernels with a special focus on bottlenecks in parallel scalability. Several model enhancements improving this scalability for large numbers of processes are described and tested. Model grids at different resolutions are used on four high-performance computing (HPC) systems with differing computational and communication hardware to demonstrate the model's scalability and throughput. Furthermore, strategies for improvements in parallel performance are presented and assessed. We show that, in terms of throughput, FESOM2 is on a par with state-of-the-art structured ocean models and, in a realistic eddy-resolving configuration (1/10 ∘ resolution), can achieve about 16 years per day on 14 000 cores. This suggests that unstructured-mesh models are becoming very competitive tools in high-resolution climate modeling. We show that the main bottlenecks of FESOM2 parallel scalability are the two-dimensional components of the model, namely the computations of the external (barotropic) mode and the sea-ice model. It is argued that these bottlenecks are shared with other general ocean circulation models. |
format |
Article in Journal/Newspaper |
author |
N. V. Koldunov V. Aizinger N. Rakowsky P. Scholz D. Sidorenko S. Danilov T. Jung |
author_facet |
N. V. Koldunov V. Aizinger N. Rakowsky P. Scholz D. Sidorenko S. Danilov T. Jung |
author_sort |
N. V. Koldunov |
title |
Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) |
title_short |
Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) |
title_full |
Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) |
title_fullStr |
Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) |
title_full_unstemmed |
Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) |
title_sort |
scalability and some optimization of the finite-volume sea ice–ocean model, version 2.0 (fesom2) |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/gmd-12-3991-2019 https://doaj.org/article/e8f1e396cc284ebbb6944101c96f42ca |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geoscientific Model Development, Vol 12, Pp 3991-4012 (2019) |
op_relation |
https://www.geosci-model-dev.net/12/3991/2019/gmd-12-3991-2019.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-12-3991-2019 1991-959X 1991-9603 https://doaj.org/article/e8f1e396cc284ebbb6944101c96f42ca |
op_doi |
https://doi.org/10.5194/gmd-12-3991-2019 |
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Geoscientific Model Development |
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12 |
container_issue |
9 |
container_start_page |
3991 |
op_container_end_page |
4012 |
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