Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 8, issue 9
Articles | Volume 8, issue 9
https://doi.org/10.5194/gmd-8-2977-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-2977-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 8, issue 9
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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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.
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