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Accelerating the Dutch Atmospheric Large-Eddy Simulation (DALES) model with OpenACC

Year: 2025

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

Authors: Esclapez, Lucas, Soucasse, Laurent, Jungbacker, Caspar, Jansson, Fredrik, de Roode, Stephan R., Costa, Pedro, Oord, Gijs van den, Sclocco, Alessio

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6979270290

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