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| Titel |
Influence of the compiler on multi-CPU performance of WRFv3 |
| VerfasserIn |
T. Langkamp, J. Böhner |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 4, no. 3 ; Nr. 4, no. 3 (2011-07-13), S.611-623 |
| Datensatznummer |
250001778
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| Publikation (Nr.) |
 copernicus.org/gmd-4-611-2011.pdf |
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| Zusammenfassung |
The Weather Research and Forecasting system version 3 (WRFv3) is an open
source and state of the art numerical Regional Climate Model used in climate
related sciences. These years the model has been successfully optimized
on a wide variety of clustered compute nodes connected with high speed
interconnects. This is currently the most used hardware architecture for
high-performance computing (Shainer et al., 2009). As such, understanding the
influence of hardware like the CPU, its interconnects, or the software on
WRFs performance is crucial for saving computing time. This is important
because computing time in general is rare, resource intensive, and hence
very expensive.
This paper evaluates the influence of different compilers on WRFs
performance, which was found to differ up to 26 %. The paper also
evaluates the performance of different Message Passing Interface library
versions, a software which is needed for multi CPU runs, and of different
WRF versions. Both showed no significant influence on the performance for
this test case on the used High Performance Cluster (HPC) hardware.
Emphasis is also laid on the applied non-standard method of performance
measuring, which was required because of performance fluctuations between
identical runs on the used HPC. Those are caused by contention for network
resources, a phenomenon examined for many HPCs (Wright et al., 2009). |
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