Preprints
https://doi.org/10.5194/egusphere-2024-169
https://doi.org/10.5194/egusphere-2024-169
22 Feb 2024
 | 22 Feb 2024

Towards a real-time modeling of global ocean waves by the fully GPU-accelerated spectral wave model WAM6-GPU

Ye Yuan, Fujiang Yu, Zhi Chen, Xueding Li, Fang Hou, Yuanyong Gao, Zhiyi Gao, and Renbo Pang

Abstract. The spectral wave model WAM (Cycle 6) is a commonly-used code package for ocean wave modeling. However, it is still a challenge to include it into the long-term earth system modeling due to huge computing requirement. In this study we have successfully developed a GPU-accelerated version of the WAM model that can run all its computing-demanding components on GPUs, with a significant performance increase compared with its original CPU version. The power of GPU computing has been unleashed through substantial efforts of code refactoring, which reduces the computing time of a 7-day global 1/10° wave modeling to 7.6 minutes in a revolutionary way. The study provides an approach to energy-efficient computing for ocean wave modeling. A preliminary evaluation suggests that approximately 90 % of power can be saved.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Ye Yuan, Fujiang Yu, Zhi Chen, Xueding Li, Fang Hou, Yuanyong Gao, Zhiyi Gao, and Renbo Pang

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-169', Anonymous Referee #1, 07 Apr 2024
    • AC1: 'Reply on RC1', Ye Yuan, 23 Apr 2024
  • RC2: 'Comment on egusphere-2024-169', Anonymous Referee #2, 13 Apr 2024
    • AC2: 'Reply on RC2', Ye Yuan, 23 Apr 2024
  • AC3: 'Comment on egusphere-2024-169', Ye Yuan, 26 Apr 2024
Ye Yuan, Fujiang Yu, Zhi Chen, Xueding Li, Fang Hou, Yuanyong Gao, Zhiyi Gao, and Renbo Pang

Model code and software

The WAM6-GPU: an OpenACC version of the third-generation spectral wave model WAM (Cycle 6) Ye Yuan https://zenodo.org/records/10453369

Ye Yuan, Fujiang Yu, Zhi Chen, Xueding Li, Fang Hou, Yuanyong Gao, Zhiyi Gao, and Renbo Pang

Viewed

Total article views: 543 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
285 231 27 543 11 10
  • HTML: 285
  • PDF: 231
  • XML: 27
  • Total: 543
  • BibTeX: 11
  • EndNote: 10
Views and downloads (calculated since 22 Feb 2024)
Cumulative views and downloads (calculated since 22 Feb 2024)

Viewed (geographical distribution)

Total article views: 543 (including HTML, PDF, and XML) Thereof 543 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 Jun 2024
Download
Short summary
Accurate and timely forecasting of ocean waves is of great importance to the safety of marine transportation and offshore engineering. In this study, Graphics Processing Unit (GPU)-accelerated computing is introduced in the WAM (Cycle 6). With this effort, global high-resolution wave simulations now can run on GPUs up to tens of times faster than currently available models on a CPU node with just as accurate results.