Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation

To exploit the possibilities of parallel computers, we designed a large-scale bidimensional atmospheric advection model named Pangolin. As the basis for a future chemistry-transport model, a finite-volume approach for advection was chosen to ensure mass preservation and to ease parallelization...

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Main Authors: A. Praga, D. Cariolle, L. Giraud
Format: Article
Language:English
Published: Copernicus Publications 2015-02-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/8/205/2015/gmd-8-205-2015.pdf
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spelling doaj-bd438e62256d4cc6ba184ff8b2d301de2020-11-24T23:02:56ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032015-02-018220522010.5194/gmd-8-205-2015Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculationA. Praga0D. Cariolle1L. Giraud2Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique/Centre National de la Recherche Scientifique, URA 1875, Sciences de l'Univers au CERFACS, Toulouse, FranceCentre Européen de Recherche et de Formation Avancée en Calcul Scientifique/Centre National de la Recherche Scientifique, URA 1875, Sciences de l'Univers au CERFACS, Toulouse, FranceInstitut National de Recherche en Informatique et en Automatique, Talence, FranceTo exploit the possibilities of parallel computers, we designed a large-scale bidimensional atmospheric advection model named Pangolin. As the basis for a future chemistry-transport model, a finite-volume approach for advection was chosen to ensure mass preservation and to ease parallelization. To overcome the pole restriction on time steps for a regular latitude–longitude grid, Pangolin uses a quasi-area-preserving reduced latitude–longitude grid. The features of the regular grid are exploited to reduce the memory footprint and enable effective parallel performances. In addition, a custom domain decomposition algorithm is presented. To assess the validity of the advection scheme, its results are compared with state-of-the-art models on algebraic test cases. Finally, parallel performances are shown in terms of strong scaling and confirm the efficient scalability up to a few hundred cores.http://www.geosci-model-dev.net/8/205/2015/gmd-8-205-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. Praga
D. Cariolle
L. Giraud
spellingShingle A. Praga
D. Cariolle
L. Giraud
Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation
Geoscientific Model Development
author_facet A. Praga
D. Cariolle
L. Giraud
author_sort A. Praga
title Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation
title_short Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation
title_full Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation
title_fullStr Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation
title_full_unstemmed Pangolin v1.0, a conservative 2-D advection model towards large-scale parallel calculation
title_sort pangolin v1.0, a conservative 2-d advection model towards large-scale parallel calculation
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2015-02-01
description To exploit the possibilities of parallel computers, we designed a large-scale bidimensional atmospheric advection model named Pangolin. As the basis for a future chemistry-transport model, a finite-volume approach for advection was chosen to ensure mass preservation and to ease parallelization. To overcome the pole restriction on time steps for a regular latitude–longitude grid, Pangolin uses a quasi-area-preserving reduced latitude–longitude grid. The features of the regular grid are exploited to reduce the memory footprint and enable effective parallel performances. In addition, a custom domain decomposition algorithm is presented. To assess the validity of the advection scheme, its results are compared with state-of-the-art models on algebraic test cases. Finally, parallel performances are shown in terms of strong scaling and confirm the efficient scalability up to a few hundred cores.
url http://www.geosci-model-dev.net/8/205/2015/gmd-8-205-2015.pdf
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