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

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

doi:https://doi.org/10.5194/gmd-17-6887-2024

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.

https://doi.org/10.5194/gmd-17-6887-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 17

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

Supplement

https://doi.org/10.5194/gmd-17-6887-2024-supplement

Data sets

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)" K. Cao and Q. Wu https://doi.org/10.5281/zenodo.12747391

The dataset of the manuscript "GPUHADVPPM V1.0: high-efficient parallel GPU design of the Piecewise Parabolic Method (PPM) for horizontal advection in air quality model (CAMx V6.10)" K. Cao et al. https://doi.org/10.5281/zenodo.7765218

Model code and software

CAMx version 6.1 ENVIRON https://camx-wp.azurewebsites.net/download/source/

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.