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UID:submissions.pasc-conference.org_PASC23_sess131_msa226@linklings.com
SUMMARY:GPU Code Adaptations to the ACCORD Atmospheric Model within the De
 stination Earth On-Demand Extremes Digital Twin Project
DESCRIPTION:Minisymposium\n\nDaan Degrauwe and Denis Haumont (RMI Belgium)
 , Rolf Heilemann Myhre (Norwegian Meteorological Institute), Niko Sokka (F
 innish Meteorological Institute), and Piet Termonia (RMI Belgium)\n\nThe D
 estination Earth On-Demand Extremes Digital Twin project will develop on-d
 emand configurable digital twin engines (DTEs) for forecasting of extreme 
 weather phenomena at the sub-km scale. The DTEs will be based on codes dev
 eloped by the ACCORD NWP consortium. The introduction of high performance 
 GPU-based accelerators greatly increases available computing resources, fo
 r instance through the EuroHPC Joint Undertaking, and GPU adaptation repre
 sents an important aspect of the DTE development. The approach taken here 
 closely follows the one of the ECMWF. The codes are transformed from CPU-t
 argeted to GPU-targeted code using source-to-source translation tools. Thi
 s requires code refactoring that includes the introduction of smart data s
 tructures for fields storage, code modularization, memory usage improvemen
 t, coding standard enforcement, multiple loops re-arrangement, … While the
  development and testing of the source-to-source translators relies on sta
 nd-alone pieces of the code, the adaptation itself will be based on a top 
 down approach that follows the structure of the existing model organizatio
 n to define the granularity of the kernels to be offloaded to the GPUs. Th
 is will be explained in detail in this presentation and first results will
  be presented.\n\nDomain: Climate, Weather and Earth Sciences\n\nSession C
 hair: Balthasar Reuter (ECMWF)
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