Articles | Volume 12, issue 2
https://doi.org/10.5194/gmd-12-749-2019
© Author(s) 2019. 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-12-749-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
20 Feb 2019
Development and technical paper |
| 20 Feb 2019
| 20 Feb 2019
MP CBM-Z V1.0: design for a new Carbon Bond Mechanism Z (CBM-Z) gas-phase chemical mechanism architecture for next-generation processors
College of Global Change and Earth System Science, Joint Center for Global Changes Studies,
Beijing Normal University, Beijing 100875, China
Junmin Lin
Intel (China) Corporation, Beijing 100013, China
now at: Artificial Intelligence Research Department, JD Corp., Beijing 100101, China
College of Global Change and Earth System Science, Joint Center for Global Changes Studies,
Beijing Normal University, Beijing 100875, China
Huansheng Chen
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Xiao Tang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Zifa Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Xueshun Chen
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Huaqiong Cheng
College of Global Change and Earth System Science, Joint Center for Global Changes Studies,
Beijing Normal University, Beijing 100875, China
Lanning Wang
College of Global Change and Earth System Science, Joint Center for Global Changes Studies,
Beijing Normal University, Beijing 100875, China
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Cited
12 citations as recorded by crossref.
- Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms Z. Bai et al. https://doi.org/10.5194/gmd-17-4383-2024
- 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 K. Cao et al. https://doi.org/10.5194/gmd-17-6887-2024
- Anthropogenic Air Pollutants Alter Environmental Conditions for Tropical Cyclone Genesis D. Chen et al. https://doi.org/10.1021/acs.est.6c03660
- Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case Z. Wang et al. https://doi.org/10.3389/fenvs.2022.955980
- Advances and Perspectives in Atmospheric Environment Modeling in China Z. Wang et al. https://doi.org/10.1007/s00376-026-5677-5
- A comprehensive spatial and temporal vehicular emissions for northeast China S. Ibarra-Espinosa et al. https://doi.org/10.1016/j.atmosenv.2020.117952
- Emulation of an atmospheric gas-phase chemistry solver through deep learning: Case study of Chinese Mainland C. Liu et al. https://doi.org/10.1016/j.apr.2021.101079
- Opposing Effects of PM2.5, O3, and CO2 Interactions on the East Asian Summer Monsoon Climate before and after the Clean Air Action Plan D. Ma et al. https://doi.org/10.1021/acs.est.5c10279
- Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al. https://doi.org/10.5194/acp-21-9343-2021
- Aerosols modulate East Asian surface temperature: unique cloud-radiation feedback and species-dependent effects D. Chen et al. https://doi.org/10.1038/s44407-025-00040-7
- Anthropogenic Aerosol Composition Modulates Summer Precipitation in East Asia D. Chen et al. https://doi.org/10.1016/j.aeaoa.2026.100488
- Surrogate-Based Global Sensitivity Analysis with Statistical Guarantees via Floodgate M. Aufiero & L. Janson https://doi.org/10.1137/24M1718330
12 citations as recorded by crossref.
- Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms Z. Bai et al. https://doi.org/10.5194/gmd-17-4383-2024
- 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 K. Cao et al. https://doi.org/10.5194/gmd-17-6887-2024
- Anthropogenic Air Pollutants Alter Environmental Conditions for Tropical Cyclone Genesis D. Chen et al. https://doi.org/10.1021/acs.est.6c03660
- Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case Z. Wang et al. https://doi.org/10.3389/fenvs.2022.955980
- Advances and Perspectives in Atmospheric Environment Modeling in China Z. Wang et al. https://doi.org/10.1007/s00376-026-5677-5
- A comprehensive spatial and temporal vehicular emissions for northeast China S. Ibarra-Espinosa et al. https://doi.org/10.1016/j.atmosenv.2020.117952
- Emulation of an atmospheric gas-phase chemistry solver through deep learning: Case study of Chinese Mainland C. Liu et al. https://doi.org/10.1016/j.apr.2021.101079
- Opposing Effects of PM2.5, O3, and CO2 Interactions on the East Asian Summer Monsoon Climate before and after the Clean Air Action Plan D. Ma et al. https://doi.org/10.1021/acs.est.5c10279
- Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al. https://doi.org/10.5194/acp-21-9343-2021
- Aerosols modulate East Asian surface temperature: unique cloud-radiation feedback and species-dependent effects D. Chen et al. https://doi.org/10.1038/s44407-025-00040-7
- Anthropogenic Aerosol Composition Modulates Summer Precipitation in East Asia D. Chen et al. https://doi.org/10.1016/j.aeaoa.2026.100488
- Surrogate-Based Global Sensitivity Analysis with Statistical Guarantees via Floodgate M. Aufiero & L. Janson https://doi.org/10.1137/24M1718330
Saved (final revised paper)
Latest update: 31 Jul 2026
Short summary
A new framework was designed for the widely used Carbon Bond Mechanism Z (CBM-Z) gas-phase chemical kinetics kernel to adapt the single-instruction, multiple-data (SIMD) technology in next-generation processors like Knights Landing (KNL) to improve their calculation performance. The optimization is aimed at implementing the fine-grain level parallelization of CBM-Z. The test results showed significant acceleration with our optimization on both CPU and KNL platforms.
A new framework was designed for the widely used Carbon Bond Mechanism Z (CBM-Z) gas-phase...
