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Open AccessArticle

A Novel GPU-Based Acceleration Algorithm for a Longwave Radiative Transfer Model

1
School of Information Engineering, China University of Geosciences, Beijing 100083, China
2
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
3
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(2), 649; https://doi.org/10.3390/app10020649
Received: 27 November 2019 / Revised: 10 January 2020 / Accepted: 11 January 2020 / Published: 16 January 2020
Graphics processing unit (GPU)-based computing for climate system models is a longstanding research area of interest. The rapid radiative transfer model for general circulation models (RRTMG), a popular atmospheric radiative transfer model, can calculate atmospheric radiative fluxes and heating rates. However, the RRTMG has a high calculation time, so it is urgent to study its GPU-based efficient acceleration algorithm to enable large-scale and long-term climatic simulations. To improve the calculative efficiency of radiation transfer, this paper proposes a GPU-based acceleration algorithm for the RRTMG longwave radiation scheme (RRTMG_LW). The algorithm concept is accelerating the RRTMG_LW in the g- p o i n t dimension. After implementing the algorithm in CUDA Fortran, the G-RRTMG_LW was developed. The experimental results indicated that the algorithm was effective. In the case without I/O transfer, the G-RRTMG_LW on one K40 GPU obtained a speedup of 30.98× over the baseline performance on one single Intel Xeon E5-2680 CPU core. When compared to its counterpart running on 10 CPU cores of an Intel Xeon E5-2680 v2, the G-RRTMG_LW on one K20 GPU in the case without I/O transfer achieved a speedup of 2.35×. View Full-Text
Keywords: high performance computing; graphics processing unit; compute unified device architecture; radiation transfer high performance computing; graphics processing unit; compute unified device architecture; radiation transfer
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Wang, Y.; Zhao, Y.; Jiang, J.; Zhang, H. A Novel GPU-Based Acceleration Algorithm for a Longwave Radiative Transfer Model. Appl. Sci. 2020, 10, 649.

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