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| Titel |
FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm |
| VerfasserIn |
P. Hanappe, A. Beurivé, F. Laguzet, L. Steels, N. Bellouin, O. Boucher, Y. H. Yamazaki, T. Aina, M. Allen |
| 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 (2011-09-27), S.835-844 |
| Datensatznummer |
250001790
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| Publikation (Nr.) |
 copernicus.org/gmd-4-835-2011.pdf |
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| Zusammenfassung |
We have optimised the atmospheric radiation algorithm of the FAMOUS
climate model on several hardware platforms. The optimisation involved
translating the Fortran code to C and restructuring the
algorithm around the computation of a single air column. Instead of
the existing MPI-based domain decomposition, we used a task queue and
a thread pool to schedule the computation of individual columns on the
available processors. Finally, four air columns are packed together in
a single data structure and computed simultaneously using Single
Instruction Multiple Data operations.
The modified algorithm runs more than 50 times faster on the CELL's
Synergistic Processing Element than on its main PowerPC
processing element. On Intel-compatible processors, the new radiation
code runs 4 times faster. On the tested graphics processor, using
OpenCL, we find a speed-up of more than 2.5 times as compared to the
original code on the main CPU. Because the radiation code takes more
than 60 % of the total CPU time, FAMOUS executes more than twice as
fast. Our version of the algorithm returns bit-wise identical results,
which demonstrates the robustness of our approach. We estimate that
this project required around two and a half man-years of work. |
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