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

Viewed

Total article views: 3,621 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,108 1,335 178 3,621 189 182
  • HTML: 2,108
  • PDF: 1,335
  • XML: 178
  • Total: 3,621
  • BibTeX: 189
  • EndNote: 182
Views and downloads (calculated since 21 Nov 2014)
Cumulative views and downloads (calculated since 21 Nov 2014)

Cited

Saved (final revised paper)

Saved (final revised paper)

Latest update: 13 Dec 2024
Download
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.
Read more