Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10)

Popularity of one kilometre scale global geophysical models is continuously growing in Europe. In this study, we increase the resolution of the NEMO ocean model, to better identify technical limitations of the present implementation and deduce, from the performance measured on one of our top superco...

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Main Authors: Maisonnave, Eric, Levy, Claire, Masson, Sebastien
Format: Text
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.2596983
https://zenodo.org/record/2596983
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spelling ftdatacite:10.5281/zenodo.2596983 2023-05-15T17:53:43+02:00 Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10) Maisonnave, Eric Levy, Claire Masson, Sebastien 2019 https://dx.doi.org/10.5281/zenodo.2596983 https://zenodo.org/record/2596983 en eng Zenodo https://zenodo.org/communities/esiwace https://dx.doi.org/10.5281/zenodo.2596982 https://zenodo.org/communities/esiwace Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Text Project deliverable article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.5281/zenodo.2596983 https://doi.org/10.5281/zenodo.2596982 2021-11-05T12:55:41Z Popularity of one kilometre scale global geophysical models is continuously growing in Europe. In this study, we increase the resolution of the NEMO ocean model, to better identify technical limitations of the present implementation and deduce, from the performance measured on one of our top supercomputers, the hardware characteristics needed to routinely use a global ocean one kilometre configuration. 24,000 Intel Broadwell cores of the Météo-France supercomputer are required to measure the performance of a simplified version of NEMO global kilometre scale. From them, assuming a perfect scaling up to 9,000,000 (nine million) computing cores, we infer that we could target a maximum speed of approximately 2 SYPD with the ORCA-Km global model. : ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191 Text Orca 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 Popularity of one kilometre scale global geophysical models is continuously growing in Europe. In this study, we increase the resolution of the NEMO ocean model, to better identify technical limitations of the present implementation and deduce, from the performance measured on one of our top supercomputers, the hardware characteristics needed to routinely use a global ocean one kilometre configuration. 24,000 Intel Broadwell cores of the Météo-France supercomputer are required to measure the performance of a simplified version of NEMO global kilometre scale. From them, assuming a perfect scaling up to 9,000,000 (nine million) computing cores, we infer that we could target a maximum speed of approximately 2 SYPD with the ORCA-Km global model. : ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191
format Text
author Maisonnave, Eric
Levy, Claire
Masson, Sebastien
spellingShingle Maisonnave, Eric
Levy, Claire
Masson, Sebastien
Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10)
author_facet Maisonnave, Eric
Levy, Claire
Masson, Sebastien
author_sort Maisonnave, Eric
title Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10)
title_short Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10)
title_full Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10)
title_fullStr Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10)
title_full_unstemmed Implementation of NEMO global 1km ocean-only demonstrator and performance analysis (D2.10)
title_sort implementation of nemo global 1km ocean-only demonstrator and performance analysis (d2.10)
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.2596983
https://zenodo.org/record/2596983
genre Orca
genre_facet Orca
op_relation https://zenodo.org/communities/esiwace
https://dx.doi.org/10.5281/zenodo.2596982
https://zenodo.org/communities/esiwace
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.2596983
https://doi.org/10.5281/zenodo.2596982
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