P-CSI v1.0, an accelerated barotropic solver for the high-resolution ocean model component in the Community Earth System Model v2.0

In the Community Earth System Model (CESM), the ocean model is computationally expensive for high-resolution grids and is often the least scalable component for high-resolution production experiments. The major bottleneck is that the barotropic solver scales poorly at high core counts. We design a new barotropic solver to accelerate the high-resolution ocean simulation. The novel solver adopts a Chebyshev-type iterative method to reduce the global communication cost in conjunction with an effective block pre-conditioner to further reduce the iterations. The algorithm and its computational complexity are theoretically analyzed and compared with other existing methods. We confirm the significant reduction of the global communication time with a competitive convergence rate using a series of idealized tests. Numerical experiments using the CESM 0.1 degrees global ocean model show that the proposed approach results in a factor of 1.7 speed-up over the original method with no loss of accuracy, achieving 10.5 simulated years per wall-clock day on 16 875 cores.

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Copyright Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.


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Author Huang, Xiaomeng
Tang, Qiang
Tseng, Yuheng
Hu, Yong
Baker, Allison H.
Bryan, Frank O.
Dennis, John
Fu, Haohuan
Yang, Guangwen
Publisher UCAR/NCAR - Library
Publication Date 2016-11-22T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:09:34.405177
Metadata Record Identifier edu.ucar.opensky::articles:19315
Metadata Language eng; USA
Suggested Citation Huang, Xiaomeng, Tang, Qiang, Tseng, Yuheng, Hu, Yong, Baker, Allison H., Bryan, Frank O., Dennis, John, Fu, Haohuan, Yang, Guangwen. (2016). P-CSI v1.0, an accelerated barotropic solver for the high-resolution ocean model component in the Community Earth System Model v2.0. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7ft8nt3. Accessed 21 June 2025.

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