Articles | Volume 17, issue 17
https://doi.org/10.5194/gmd-17-6887-2024
© Author(s) 2024. 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-17-6887-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
13 Sep 2024
Development and technical paper |
| 13 Sep 2024
| 13 Sep 2024
GPU-HADVPPM4HIP V1.0: using the heterogeneous-compute interface for portability (HIP) to speed up the piecewise parabolic method in the CAMx (v6.10) air quality model on China's domestic GPU-like accelerator
College of Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
College of Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Joint Center for Earth System Modeling and High Performance Computing, Beijing Normal University, Beijing 100875, China
Lingling Wang
CORRESPONDING AUTHOR
Henan Ecological Environmental Monitoring and Safety Center, Henan Key Laboratory of Environmental Monitoring Technology, Zhengzhou 450008, China
Hengliang Guo
National Supercomputing Center in Zhengzhou, Zhengzhou 450001, China
Nan Wang
Henan Ecological Environmental Monitoring and Safety Center, Henan Key Laboratory of Environmental Monitoring Technology, Zhengzhou 450008, China
Huaqiong Cheng
College of Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Joint Center for Earth System Modeling and High Performance Computing, Beijing Normal University, Beijing 100875, China
Xiao Tang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing 100029, China
Dongxing Li
College of Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Joint Center for Earth System Modeling and High Performance Computing, Beijing Normal University, Beijing 100875, China
Lina Liu
National Supercomputing Center in Zhengzhou, Zhengzhou 450001, China
Dongqing Li
College of Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Hao Wu
National Supercomputing Center in Zhengzhou, Zhengzhou 450001, China
Lanning Wang
CORRESPONDING AUTHOR
College of Global Change and Earth System Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Joint Center for Earth System Modeling and High Performance Computing, Beijing Normal University, Beijing 100875, China
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Baozhu Ge, Syuichi Itahashi, Keiichi Sato, Danhui Xu, Junhua Wang, Fan Fan, Qixin Tan, Joshua S. Fu, Xuemei Wang, Kazuyo Yamaji, Tatsuya Nagashima, Jie Li, Mizuo Kajino, Hong Liao, Meigen Zhang, Zhe Wang, Meng Li, Jung-Hun Woo, Junichi Kurokawa, Yuepeng Pan, Qizhong Wu, Xuejun Liu, and Zifa Wang
Atmos. Chem. Phys., 20, 10587–10610, https://doi.org/10.5194/acp-20-10587-2020, https://doi.org/10.5194/acp-20-10587-2020, 2020
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Performances of the simulated deposition for different reduced N (Nr) species in China were conducted with the Model Inter-Comparison Study for Asia. Results showed that simulated wet deposition of oxidized N was overestimated in northeastern China and underestimated in south China, but Nr was underpredicted in all regions by all models. Oxidized N has larger uncertainties than Nr, indicating that the chemical reaction process is one of the most importance factors affecting model performance.
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Short summary
AMD’s heterogeneous-compute interface for portability was implemented to port the piecewise parabolic method solver from NVIDIA GPUs to China's GPU-like accelerators. The results show that the larger the model scale, the more acceleration effect on the GPU-like accelerator, up to 28.9 times. The multi-level parallelism achieves a speedup of 32.7 times on the heterogeneous cluster. By comparing the results, the GPU-like accelerators have more accuracy for the geoscience numerical models.
AMD’s heterogeneous-compute interface for portability was implemented to port the piecewise...
