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| Titel |
POM.gpu-v1.0: a GPU-based Princeton Ocean Model |
| VerfasserIn |
S. Xu, X. Huang, L.-Y. Oey, F. Xu, H. Fu, Y. Zhang, G. Yang |
| 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 ; 8, no. 9 ; Nr. 8, no. 9 (2015-09-09), S.2815-2827 |
| Datensatznummer |
250116554
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| Publikation (Nr.) |
 copernicus.org/gmd-8-2815-2015.pdf |
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| Zusammenfassung |
| Graphics processing units (GPUs) are an attractive solution in many
scientific applications due to their high performance. However, most existing
GPU conversions of climate models use GPUs for only a few computationally
intensive regions. In the present study, we redesign the mpiPOM (a parallel
version of the Princeton Ocean Model) with GPUs. Specifically, we first
convert the model from its original Fortran form to a new Compute Unified
Device Architecture C (CUDA-C) code, then we optimize the code on each of the
GPUs, the communications between the GPUs, and the I / O between the GPUs
and the central processing units (CPUs). We show that the performance of the
new model on a workstation containing four GPUs is comparable to that on a
powerful cluster with 408 standard CPU cores, and it reduces the energy
consumption by a factor of 6.8. |
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