Preprints
https://doi.org/10.5194/egusphere-2024-169
https://doi.org/10.5194/egusphere-2024-169
22 Feb 2024
 | 22 Feb 2024
Status: this preprint is open for discussion.

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.

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

Status: open (until 18 Apr 2024)

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 reply
  • RC2: 'Comment on egusphere-2024-169', Anonymous Referee #2, 13 Apr 2024 reply
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

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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.