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dc.contributor.author
Fuhrer, Oliver
dc.contributor.author
Chadha, Tarun
dc.contributor.author
Hoefler, Torsten
dc.contributor.author
Kwasniewski, Grzegorz
dc.contributor.author
Lapillonne, Xavier
dc.contributor.author
Leutwyler, David
dc.contributor.author
Luthi, Daniel
dc.contributor.author
Osuna, Carlos
dc.contributor.author
Schär, Christoph
dc.contributor.author
Schulthess, Thomas C.
dc.contributor.author
Vogt, Hannes
dc.date.accessioned
2018-05-22T12:22:52Z
dc.date.available
2018-05-18T16:45:07Z
dc.date.available
2018-05-22T12:17:37Z
dc.date.available
2018-05-22T12:22:52Z
dc.date.issued
2018-05-02
dc.identifier.issn
1991-9603
dc.identifier.issn
1991-959X
dc.identifier.other
10.5194/gmd-11-1665-2018
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/265137
dc.identifier.doi
10.3929/ethz-b-000265137
dc.description.abstract
The best hope for reducing long-standing global climate model biases is by increasing resolution to the kilometer scale. Here we present results from an ultrahigh-resolution non-hydrostatic climate model for a near-global setup running on the full Piz Daint supercomputer on 4888 GPUs (graphics processing units). The dynamical core of the model has been completely rewritten using a domain-specific language (DSL) for performance portability across different hardware architectures. Physical parameterizations and diagnostics have been ported using compiler directives. To our knowledge this represents the first complete atmospheric model being run entirely on accelerators on this scale. At a grid spacing of 930 m (1.9 km), we achieve a simulation throughput of 0.043 (0.23) simulated years per day and an energy consumption of 596 MWh per simulated year. Furthermore, we propose a new memory usage efficiency (MUE) metric that considers how efficiently the memory bandwidth – the dominant bottleneck of climate codes – is being used.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Geoscientific Model Development
ethz.journal.volume
11
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
Geosci. model dev.
ethz.pages.start
1665
en_US
ethz.pages.end
1681
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03360 - Schär, Christoph / Schär, Christoph
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02666 - Institut für Hochleistungsrechnersysteme / Inst. f. High Performance Computing Syst::03950 - Hoefler, Torsten / Hoefler, Torsten
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03360 - Schär, Christoph / Schär, Christoph
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02666 - Institut für Hochleistungsrechnersysteme / Inst. f. High Performance Computing Syst::03950 - Hoefler, Torsten / Hoefler, Torsten
ethz.date.deposited
2018-05-18T16:46:01Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-05-22T12:17:47Z
ethz.rosetta.lastUpdated
2022-03-28T20:13:04Z
ethz.rosetta.versionExported
true
ethz.COinS
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