Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques
IntroductionTo 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.MethodsTo address this iss...
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2025.1586015/full |
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| author | Xin Liu Xin Liu Xin Liu Xin Liu Shuhui Guan Shuhui Guan Qiqi Han Qiqi Han Jie Zhang Jie Zhang Zhanshuo Zhang Zhanshuo Zhang Fuqing Xu |
| author_facet | Xin Liu Xin Liu Xin Liu Xin Liu Shuhui Guan Shuhui Guan Qiqi Han Qiqi Han Jie Zhang Jie Zhang Zhanshuo Zhang Zhanshuo Zhang Fuqing Xu |
| author_sort | Xin Liu |
| collection | DOAJ |
| description | IntroductionTo 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.MethodsTo 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.ResultsThe 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.DiscussionIn 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. |
| format | Article |
| id | doaj-art-3decd79d57c04b14a22ffa859598bc20 |
| institution | OA Journals |
| issn | 2296-7745 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-3decd79d57c04b14a22ffa859598bc202025-08-20T01:51:28ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-05-011210.3389/fmars.2025.15860151586015Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniquesXin Liu0Xin Liu1Xin Liu2Xin Liu3Shuhui Guan4Shuhui Guan5Qiqi Han6Qiqi Han7Jie Zhang8Jie Zhang9Zhanshuo Zhang10Zhanshuo Zhang11Fuqing Xu12Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, ChinaFrontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, ChinaLaoshan Laboratory, Qingdao, ChinaKey Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, ChinaKey Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, ChinaKey Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, ChinaKey Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaShandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, ChinaKey Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, ChinaIntroductionTo 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.MethodsTo 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.ResultsThe 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.DiscussionIn 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.https://www.frontiersin.org/articles/10.3389/fmars.2025.1586015/fullocean wave modelMASNUM modelmixed-precisionsimulation accuracycomputational efficiency |
| spellingShingle | Xin Liu Xin Liu Xin Liu Xin Liu Shuhui Guan Shuhui Guan Qiqi Han Qiqi Han Jie Zhang Jie Zhang Zhanshuo Zhang Zhanshuo Zhang Fuqing Xu Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques Frontiers in Marine Science ocean wave model MASNUM model mixed-precision simulation accuracy computational efficiency |
| title | Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques |
| title_full | Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques |
| title_fullStr | Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques |
| title_full_unstemmed | Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques |
| title_short | Precision-tailored ocean wave modeling: enhancing efficiency in the MASNUM wave model through mixed-precision techniques |
| title_sort | precision tailored ocean wave modeling enhancing efficiency in the masnum wave model through mixed precision techniques |
| topic | ocean wave model MASNUM model mixed-precision simulation accuracy computational efficiency |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2025.1586015/full |
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