GPU-HADVPPM V1.0: a high-efficiency parallel GPU design of the piecewise parabolic method (PPM) for horizontal advection in an  air quality model (CAMx V6.10)

Cao, Kai; Wu, Qizhong; Wang, Lingling; Wang, Nan; Cheng, Huaqiong; Tang, Xiao; Li, Dongqing; Wang, Lanning

doi:https://doi.org/10.5194/gmd-16-4367-2023

Articles | Volume 16, issue 15

https://doi.org/10.5194/gmd-16-4367-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-4367-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 15

Development and technical paper

|

01 Aug 2023

Development and technical paper |

| 01 Aug 2023

GPU-HADVPPM V1.0: a high-efficiency parallel GPU design of the piecewise parabolic method (PPM) for horizontal advection in an air quality model (CAMx V6.10)

Kai Cao, Qizhong Wu, Lingling Wang, Nan Wang, Huaqiong Cheng, Xiao Tang, Dongqing Li, and Lanning Wang

Supplement

https://doi.org/10.5194/gmd-16-4367-2023-supplement

Data sets

The dataset of the manuscript "GPU-HADVPPM V1.0: high-efficient parallel GPU design of the Piecewise Parabolic Method (PPM) for horizontal advection in air quality model (CAMx V6.10)" Kai Cao, Qizhong Wu, Lingling Wang, Nan Wang, Huaqiong Cheng, Xiao Tang, Dongqing Li, and Lanning Wang 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

Offline performance experiment results show that the GPU-HADVPPM on a V100 GPU can achieve up to 1113.6 × speedups to its original version on an E5-2682 v4 CPU. A series of optimization measures are taken, and the CAMx-CUDA model improves the computing efficiency by 128.4 × on a single V100 GPU card. A parallel architecture with an MPI plus CUDA hybrid paradigm is presented, and it can achieve up to 4.5 × speedup when launching eight CPU cores and eight GPU cards.