Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5739-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-5739-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
swNEMO_v4.0: an ocean model based on NEMO4 for the new-generation Sunway supercomputer
Yuejin Ye
National Supercomputing Center, Wuxi 214000, China
First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling,
Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
Zhenya Song
First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling,
Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
Shengchang Zhou
First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling,
Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
School of Software, Shandong University, Jinan 250101, China
Yao Liu
School of Data Science and Engineering, East China Normal University, Shanghai 200062, China
First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling,
Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
Bingzhuo Wang
CORRESPONDING AUTHOR
National Supercomputing Center, Wuxi 214000, China
Weiguo Liu
Laboratory for Regional Oceanography and Numerical Modeling,
Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
School of Software, Shandong University, Jinan 250101, China
Fangli Qiao
CORRESPONDING AUTHOR
First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling,
Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
Lanning Wang
CORRESPONDING AUTHOR
Laboratory for Regional Oceanography and Numerical Modeling,
Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
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Cited
5 citations as recorded by crossref.
- Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system X. He et al. 10.1631/FITEE.2200412
- Parallel optimization of method of characteristics based on Sunway Bluelight II supercomputer R. Chen et al. 10.1007/s11227-023-05313-0
- Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos J. Wei et al. 10.1016/j.future.2024.06.029
- PeakFS: An Ultra-High Performance Parallel File System via Computing-Network-Storage Co-Optimization for HPC Applications Y. Chen et al. 10.1109/TPDS.2024.3485754
- swParaFEM: a highly efficient parallel finite element solver on Sunway many-core architecture J. Pan et al. 10.1007/s11227-023-05114-5
4 citations as recorded by crossref.
- Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system X. He et al. 10.1631/FITEE.2200412
- Parallel optimization of method of characteristics based on Sunway Bluelight II supercomputer R. Chen et al. 10.1007/s11227-023-05313-0
- Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos J. Wei et al. 10.1016/j.future.2024.06.029
- PeakFS: An Ultra-High Performance Parallel File System via Computing-Network-Storage Co-Optimization for HPC Applications Y. Chen et al. 10.1109/TPDS.2024.3485754
1 citations as recorded by crossref.
Latest update: 14 May 2025
Short summary
The swNEMO_v4.0 is developed with ultrahigh scalability through the concepts of hardware–software co-design based on the characteristics of the new Sunway supercomputer and NEMO4. Three breakthroughs, including an adaptive four-level parallelization design, many-core optimization and mixed-precision optimization, are designed. The simulations achieve 71.48 %, 83.40 % and 99.29 % parallel efficiency with resolutions of 2 km, 1 km and 500 m using 27 988 480 cores, respectively.
The swNEMO_v4.0 is developed with ultrahigh scalability through the concepts of...