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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Series: | Geoscientific Model Development |
Online Access: | http://www.geosci-model-dev.net/8/205/2015/gmd-8-205-2015.pdf |
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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 |
work_keys_str_mv |
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1725634533547573248 |