Articles | Volume 17, issue 17
https://doi.org/10.5194/gmd-17-6887-2024
https://doi.org/10.5194/gmd-17-6887-2024
Development and technical paper
 | 
13 Sep 2024
Development and technical paper |  | 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

Kai Cao, Qizhong Wu, Lingling Wang, Hengliang Guo, Nan Wang, Huaqiong Cheng, Xiao Tang, Dongxing Li, Lina Liu, Dongqing Li, Hao Wu, and Lanning Wang

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Cited articles

Alvanos, M. and Christoudias, T.: GPU-accelerated atmospheric chemical kinetics in the ECHAM/MESSy (EMAC) Earth system model (version 2.52), Geosci. Model Dev., 10, 3679–3693, https://doi.org/10.5194/gmd-10-3679-2017, 2017. 
AMD: ROCm Documentation Release 5.7.1, Advanced Micro Devices Inc., https://rocm.docs.amd.com/en/docs-5.7.1 (last access: 9 September 2024), 2023. 
Bott, A.: A Positive Definite Advection Scheme Obtained by Nonlinear Renormalization of the Advective Fluxes, Mon. Weather Rev., 117, 1006–1016, https://doi.org/10.1175/1520-0493(1989)117<1006:APDASO>2.0.CO;2, 1989. 
CAMx: A multi-scale photochemical modeling system for gas and particulate air pollution, ENVIRON International Corporation, https://www.camx.com/ (last access: 20 October 2023), 2023. 
Cao, K. and Wu, Q.: The dataset of the manuscript “GPU-HADVPPM4HIP V1.0: higher model accuracy on China's domestically GPU-like accelerator using heterogeneous compute interface for portability (HIP) technology to accelerate the piecewise parabolic method (PPM) in an air quality model (CAMx V6.10)”, Zenodo [data set], https://doi.org/10.5281/zenodo.12747391, 2024. 
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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.
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