Articles | Volume 8, issue 9
https://doi.org/10.5194/gmd-8-2977-2015
https://doi.org/10.5194/gmd-8-2977-2015
Development and technical paper
 | 
30 Sep 2015
Development and technical paper |  | 30 Sep 2015

Development of efficient GPU parallelization of WRF Yonsei University planetary boundary layer scheme

M. Huang, J. Mielikainen, B. Huang, H. Chen, H.-L. A. Huang, and M. D. Goldberg

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Cited articles

Betts, A., Hong, S.-Y., and Pan, H.-L.: Comparison of NCEPNCAR reanalysis with 1987 FIFE data, Mon. Weather Rev., 124, 1480–1498, 1996.
Bright, D. R. and Mullen, S. L.: The sensitivity of the numerical simulation of the southwest monsoon boundary layer to the choice of PBL turbulence parameterization in MM5, Weather Forecast., 17, 99–114, 2002.
Continental US (CONUS): WRF V3 Parallel Benchmark Page, Single domain, medium size, 12 km CONUS, Oct. 2001, available at: http://www2.mmm.ucar.edu/wrf/WG2/benchv3/#_Toc212961288, last access: 18 June 2008.
Durran, D. R. and Klemp, J. B.: The effects of moisture on trapped mountain lee waves, J. Atmos. Sci., 39, 2490–2506, 1982.
Hong, S.-Y. and Pan, H.-L.: Nonlocal boundary layer vertical diffusion in a Medium-Range Forecast model, Mon. Weather Rev., 124, 2322–2339, 1996.
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Short summary
To expedite weather research and prediction, we have put tremendous effort into developing an accelerated implementation of the entire WRF model using GPU massive parallel computing architecture. This paper presents our efficient GPU-based design on WRF YSU PBL scheme. Using one NVIDIA Tesla K40 GPU, the GPU-based YSU PBL scheme achieves a speedup of 193x with respect to its runtime on 1 CPU core. We can even boost the speedup to 360x with respect to 1 CPU core as two K40 GPUs are applied.