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

2021-03-04          发布:[信息工程学院]

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-point 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 30.98x 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 2.35x.

上述成果发表在期刊《APPLIED SCIENCES-BASEL》上:Wang,YZ(Wang,Yuzhu)[1];Zhao,Y(Zhao,Yuan)[1];Jiang,JR(Jiang,Jinrong)[2];Zhang,H(Zhang,He)[3]. A Novel GPU-Based Acceleration Algorithm for a Longwave Radiative Transfer Model. APPLIED SCIENCES-BASEL,10(2).

全文链接:https://doi.org/10.3390/app10020649