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Research on Acceleration Methods for Hydrodynamic Models Integrating a Dynamic Grid System, Local Time Stepping, and GPU Parallel Computing.

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Title: Research on Acceleration Methods for Hydrodynamic Models Integrating a Dynamic Grid System, Local Time Stepping, and GPU Parallel Computing.
Authors: Ping, Yang1 (AUTHOR), Xu, Hao1,2 (AUTHOR), Song, Lixiang1,2 (AUTHOR) dambreak@126.com, Chen, Jie1,2 (AUTHOR), Zhang, Zhenzhou1 (AUTHOR), Hu, Yuying2 (AUTHOR)
Source: Water (20734441). Sep2025, Vol. 17 Issue 18, p2662. 13p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
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PubType: Academic Journal
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  Data: Research on Acceleration Methods for Hydrodynamic Models Integrating a Dynamic Grid System, Local Time Stepping, and GPU Parallel Computing.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Sep2025, Vol. 17 Issue 18, p2662. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=188280094
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        Value: 10.3390/w17182662
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      – Code: eng
        Text: English
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        PageCount: 13
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      – TitleFull: Research on Acceleration Methods for Hydrodynamic Models Integrating a Dynamic Grid System, Local Time Stepping, and GPU Parallel Computing.
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            NameFull: Ping, Yang
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            NameFull: Xu, Hao
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            NameFull: Chen, Jie
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            NameFull: Zhang, Zhenzhou
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            – D: 15
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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