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

Authors :
Fuhrer, Oliver
Chadha, Tarun
Hoefler, Torsten
Kwasniewski, Grzegorz
Lapillonne, Xavier
Leutwyler, David
Lüthi, Daniel
Osuna, Carlos
Schär, Christoph
Schulthess, Thomas C.
Vogt, Hannes
Source :
Geoscientific Model Development; 2018, Vol. 11 Issue 4, p1665-1681, 17p
Publication Year :
2018

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 ultrahighresolution 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 domainspecific 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 930m (1.9 km), we achieve a simulation throughput of 0.043 (0.23) simulated years per day and an energy consumption of 596MWh 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1991959X
Volume :
11
Issue :
4
Database :
Complementary Index
Journal :
Geoscientific Model Development
Publication Type :
Academic Journal
Accession number :
129478360
Full Text :
https://doi.org/10.5194/gmd-11-1665-2018