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A Novel GPU-Based Acceleration Algorithm for a Longwave Radiative Transfer Model by Wang, Yuzhu; Zhao, Yuan; Jiang, Jinrong; Zhang, He is a Engineering article available to read on EtoBox.

What is A Novel GPU-Based Acceleration Algorithm for a Longwave Radiative Transfer Model about?

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

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

Author

Wang, Yuzhu; Zhao, Yuan; Jiang, Jinrong; Zhang, He

Publisher

MDPI AG; Multidisciplinary Digital Publishing Institute (MDPI); Basel: MDPI AG, 2011- (ISSN 2076-3417)

Published

2020

Language

EN

Field

Engineering (Physical Sciences)