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BEGIN:VEVENT
DTSTAMP:20260421T090514Z
LOCATION:Bldg. 6 - Room 103
DTSTART;TZID=Europe/Stockholm:20260701T093000
DTEND;TZID=Europe/Stockholm:20260701T100000
UID:submissions.pasc-conference.org_PASC26_sess153_msa122@linklings.com
SUMMARY:ICON4Py: an ICON performance portable implementation in python usi
 ng gt4py
DESCRIPTION:Nicoletta Farabullini (Center for Climate Systems Modeling (C2
 SM))\n\nICON4Py represents a significant shift in the development of the I
 CON weather and climate modeling framework, transitioning from a Fortran c
 odebase to a performance-portable Python implementation. The project combi
 nes the Python flexibility with the performance required for large-scale n
 umerical weather prediction and climate modeling. A multi-tiered testing s
 trategy ensures numerical consistency with the original Fortran model.\n\n
 ICON4Py leverages the GT4Py stencil-based model to implement atmospheric c
 omputations in a hardware-agnostic manner by enabling automatic code gener
 ation and low-level parallelization and optimization for diverse backends 
 on both CPUs and GPUs. This approach preserves the algorithmic structure o
 f the original ICON model while improving code readability, maintainabilit
 y, interoperability with AI tools such as JAX, and rapid prototyping capab
 ilities. \n\nThe GT4Py-based dynamical core has shown to meet and exceed t
 he performance of the original ICON OpenACC implementation with up to 1.5 
 speed-up. Initial achievements include successful execution of test cases 
 (e.g., Jablonowski-Williamson) on single GPUs at 20 km resolution. \n\nCur
 rent results demonstrate that the refactored dynamical core is capable of 
 supporting global kilometer-scale simulations, establishing a foundational
  framework for next-generation, exascale-ready climate modeling.\n\nDomain
 : Climate, Weather, and Earth Sciences, Computational Methods and Applied 
 Mathematics\n\nSession Chairs: Georgiana Mania (DKRZ) and Xavier Lapillonn
 e (MeteoSwiss)\n\n
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