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.

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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

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article

Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques

Qiqi Han, Shuhui Guan, Zhanshuo Zhang, Jie Zhang et al.
Frontiers in Marine Science
Ocean Waves and Remote Sensing
article

Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques

Qiqi Han, Shuhui Guan, Zhanshuo Zhang, Jie Zhang, Xin Liu, Fen Xu
article en

Abstract

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.

Frontiers in Marine ScienceVol. 12
Qilu University of Technology (CN), Shandong Academy of Sciences (CN), Laoshan Laboratory, Ocean University of China (CN)
Qingdao National Laboratory for Marine Science and Technology
Openalex Percentile: Top 87%
Ocean Waves and Remote Sensing
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