Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques
Introduction To enhance the simulation performance of wave numerical models, high-precision ocean models are widely utilized. However, the low efficiency of high-precision numerical computation remains one of the key bottlenecks hindering the advancement of wave forecasting. Methods To address this issue, this study introduces a mixed-precision framework based on variable-specific precision allocation, applied to the MArine Science and Numerical Modeling (MASNUM) ocean wave model, considering physical sensitivities. Results The results demonstrate that by strategically reducing the precision of non-critical variables to single-precision (float32) or half-precision (float16), the mixed-precision scheme significantly improves computational efficiency while maintaining the accuracy of the simulation results. Specifically, compared to the double-precision baseline, the mixed-precision approach results in minimal accuracy loss, with SMAPE values for significant wave height ranging between 0.12% and 0.43%, and RMSE ranging from 0.01 m to 0.02 m. Discussion In terms of computational performance, combined structural and precision optimizations yield a 2.97–3.39× speedup over double-precision. The findings robustly demonstrate the potential of mixed-precision computing for high-resolution, real-time ocean forecasting applications, providing valuable insights for balancing computational efficiency and simulation accuracy.
Authors
- Qiqi Han
- Shuhui Guan (ORCID: https://orcid.org/0000-0001-9301-6084)
- Zhanshuo Zhang (ORCID: https://orcid.org/0000-0002-2664-1602)
- Jie Zhang (ORCID: https://orcid.org/0000-0003-1587-503X)
- Xin Liu (ORCID: https://orcid.org/0009-0004-6406-6321)
- Fen Xu
Institutions
- Qilu University of Technology (CN)
- Shandong Academy of Sciences (CN)
- Laoshan Laboratory
- Ocean University of China (CN)
Publication Details
- Journal
- Frontiers in Marine Science
- Published
- 2025-05-19
- DOI
- https://doi.org/10.3389/fmars.2025.1586015
- Primary Topic
- Ocean Waves and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Qingdao National Laboratory for Marine Science and Technology