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Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0.

Authors :
Fuhrer, Oliver
Chadha, Tarun
Hoefler, Torsten
Kwasniewski, Grzegroz
Lapillonne, Xavier
Leutwyler, David
Lüthi, Daniel
Osuna, Carlos
Schär, Christoph
Schulthess, Thomas C.
Vogt, Hannes
Source :
Geoscientific Model Development Discussions. 2017, p1-27. 27p.
Publication Year :
2017

Abstract

The best hope for reducing long-standing global climate model biases, is through increasing the resolution to the kilometer scale. Here we present results from an ultra-high resolution non-hydrostatic climate model for a near-global setup running on the full Piz Daint supercomputer on 4888 GPUs. 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 at 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 the new memory usage efficiency metric that considers how efficiently the memory bandwidth - the dominant bottleneck of climate codes - is being used. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*ATMOSPHERIC models
*HYDROSTATICS

Details

Language :
English
ISSN :
19919611
Database :
Academic Search Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
127189571
Full Text :
https://doi.org/10.5194/gmd-2017-230