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UID:submissions.pasc-conference.org_PASC23_sess137_msa287@linklings.com
SUMMARY:Evolution of the ICON Model to Exploit Emerging Technology: An Ove
 rview
DESCRIPTION:Minisymposium\n\nWilliam Barton Sawyer (ETH Zurich / CSCS)\n\n
 The Icosahedral Non-hydrostatic (ICON) model has been developed jointly in
  the last 20 years by the Max Planck Institute for Meteorology and the Ger
 man Weather Service (Deutscher Wetterdienst) to support both climate simul
 ations and numerical weather prediction (NWP). Due to the expense of such 
 simulations, it was recognized already in 2010 -- well before its wide-spr
 ead use -- that ICON's performance could benefit from Graphics Processing 
 Units (GPUs) and potentially other emerging technologies. The Swiss Nation
 al Supercomputing Centre (CSCS) embarked at that point on a multi-year pro
 gram to help prepare ICON for the inevitable emergence of GPUs as the prim
 ary technology for high-performance computing. This effort started with co
 de rewrites of ICON's dynamical core (solver of the fully compressible Eul
 er equations) in OpenCL and CUDAFortran. Favorably performance results led
  to a ten year crusade to port all of ICON to GPUs, first using OpenACC co
 mpiler directives, and more recently using a Python-enabled domain specifi
 c language called Gridtools-for-Python (GT4Py), involving software develop
 ment partners from MeteoSuisse and the Center for Climate System Modeling 
 (C2SM), among others. This presentation contains an overview of the evolut
 ion of ICON for HPC over the last ten years, highlighting both the success
 es and missteps.\n\nDomain: Climate, Weather and Earth Sciences\n\nSession
  Chair: Balthasar Reuter (ECMWF)
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