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

Conference Paper (2025)
Author(s)

Lucas Esclapez (The Netherlands eScience Center)

Laurent Soucasse (Netherlands eScience Center)

Caspar Jungbacker (TU Delft - Atmospheric Remote Sensing)

Fredrik Jansson (TU Delft - Atmospheric Remote Sensing)

S.R. De Roode (TU Delft - Atmospheric Remote Sensing)

Pedro Costa (TU Delft - Energy Technology)

Gijs van den Oord (Netherlands eScience Center)

Alessio Sclocco (Netherlands eScience Center)

Research Group
Atmospheric Remote Sensing
DOI related publication
https://doi.org/10.1109/IPDPS64566.2025.00066
More Info
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Publication Year
2025
Language
English
Research Group
Atmospheric Remote Sensing
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
678-688
ISBN (print)
979-8-3315-3238-3
ISBN (electronic)
979-8-3315-3237-6
Reuse Rights

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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. A weak scaling analysis is conducted and portability across NVIDIA A100 and H100 hardware is discussed. Finally, we show how targeted kernels can benefit from further optimization with Kernel Tuner, a GPU kernels auto-tuning package.

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