2025/02/21 by Esclapez, Lucas, Soucasse, Laurent, Jungbacker, Caspar +5
#Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Engineering #Distributed #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Parallel #and Cluster Computing (cs.DC) #and Science (cs.CE)
paper · doi:10.48550/arxiv.2502.20412
This paper presents the GPU porting through OpenACC directives of the Dutch Atmospheric Large-Eddy Simulation (DALES) application, a high-resolution atmospheric model. The code is written in Fortran~90 and features parallel (distributed) execution through spatial domain decomposition. We assess the performance of the GPU offloading, comparing the time-to-solution on regular and accelerated HPC nodes. %comparing the computational time between distributed and accelerated nodes. A weak scaling analysis is conducted and portability across NVIDIA A100 and H100 hardware %and AMD hardware is discussed. Finally, we show how targeted kernels can benefit from further optimization with Kernel Tuner, a GPU kernels auto-tuning package.