Enabling km-scale coupled climate simulations with ICON on GPUs

Jussi Enkovaara; Claudia Frauen; Daniel Klocke; Lukas Kluft; Luis Kornblueh; Sergey Kosukhin; Tuomas Lunttila; Rene Redler; Reiner Schnur

doi:https://doi.org/10.5194/egusphere-egu24-18293

[Back] [Session ESSI2.5]

EGU24-18293, updated on 11 Mar 2024

https://doi.org/10.5194/egusphere-egu24-18293

EGU General Assembly 2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Enabling km-scale coupled climate simulations with ICON on GPUs

Jussi Enkovaara², Claudia Frauen³, Daniel Klocke¹, Lukas Kluft¹, Luis Kornblueh¹, Sergey Kosukhin¹, Tuomas Lunttila², Rene Redler¹, and Reiner Schnur¹

Jussi Enkovaara et al.

¹Max-Planck-Institut für Meteorologie, Hamburg, Germany
²CSC - IT Center for Science, Espoo, Finland
³Deutsches Klimarechenzentrum, Hamburg, Germany

The Icosahedral Nonhydrostatic (ICON) weather and climate model is a modelling framework for numerical weather prediction and climate simulations. ICON is implemented mostly in Fortran 2008 with the GPU version based mainly on OpenACC. ICON is used on a large variety of hardware, ranging from classical CPU cluster to vector architecture and different GPU systems.

An ICON model configuration developed for km-scale climate simulations is used as a scientific prototype for the digital twin of the Earth for climate adaptation with in the Destination Earth program of the European Comission. Here we focus on our effort to run these coupled ICON configurations at km-scale on LUMI, a HPE Cray EX system with a GPU partition based on AMD MI250x’s.

We present the model configuration, performance results and scalability of the simulation system on Lumi and compare it with results on other GPU and CPU based systems.

How to cite: Enkovaara, J., Frauen, C., Klocke, D., Kluft, L., Kornblueh, L., Kosukhin, S., Lunttila, T., Redler, R., and Schnur, R.: Enabling km-scale coupled climate simulations with ICON on GPUs, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18293, https://doi.org/10.5194/egusphere-egu24-18293, 2024.