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DTSTAMP:20260724T151409Z
LOCATION:Bldg. 6 - 103
DTSTART;TZID=Europe/Stockholm:20260701T090000
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UID:submissions.pasc-conference.org_PASC26_sess153@linklings.com
SUMMARY:MS4E - Emerging Paradigms for Performance Portability in Earth-Sys
 tem Modeling
DESCRIPTION:Access the recording\n\nOrganizer(s): Georgiana Mania (German 
 Climate Computing Centre), and Xavier Lapillonne (MeteoSwiss)\n\nThe recen
 t advancements in Earth System Models (ESMs) have enabled simulations at u
 nprecedented resolutions (1-kilometre global and sub-kilometre local), pus
 hing the boundaries of forecast quality. However, these simulations demand
  enormous compute resources, necessitating the largest supercomputers and 
 cutting-edge hardware architectures from various vendors. This has created
  a significant challenge for ESMs to ensure performance portability, parti
 cularly given the legacy Fortran code bases. To address this issue, this m
 ini-symposium brings together invited experts who will present diverse app
 roaches to achieving performance portability, including the utilization of
  existing portability frameworks, the development of domain-specific langu
 ages and compilers, and share their hands-on experiences. By showcasing th
 ese innovative solutions, this mini-symposium aims to facilitate a compreh
 ensive understanding of the current state-of-the-art and future directions
  in achieving performance portability for next-generation ESMs.\n\nPSyclon
 e: A Story of Co-Design for Scientific Functionality and Performance Porta
 bility in the Momentum® Modelling Framework\n\nWeather and climate modelli
 ng are among the most computationally intensive scientific applications, r
 equiring exascale computing to significantly improve prediction and projec
 tion capabilities. These complex codes are collaboratively developed acros
 s institutions and run on various computing archite...\n\n\nIva Kavcic (Me
 t Office)\n---------------------\nICON4Py: An ICON Performance Portable Im
 plementation in Python Using gt4py\n\nICON4Py represents a significant shi
 ft in the development of the ICON weather and climate modeling framework, 
 transitioning from a Fortran codebase to a performance-portable Python imp
 lementation. The project combines the Python flexibility with the performa
 nce required for large-scale numerical wea...\n\n\nChristoph Müller (Meteo
 Swiss) and Nicoletta Farabillini (ETH Zurich / CSCS)\n--------------------
 -\nCo-Designing Performance Portability for ICON: An OpenACC to Kokkos Jou
 rney\n\nModern heterogeneous HPC systems, which include multi-core CPUs an
 d GPU accelerators from various vendors, require portability strategies th
 at go beyond single-architecture optimization. This is particularly challe
 nging for large production models like ICON, as it requires a careful bala
 ncing act be...\n\n\nPradipta Samanta (German Climate Computing Centre)\n-
 --------------------\nPanel Discussion: Overcoming Technical Hurdles to Ac
 hieve Performance Portability\n\nThe mini-symposium will feature expert sp
 eakers who will delve into the various strategies for achieving performanc
 e portability in Earth-System Modeling. They will explore the use of domai
 n-specific compiler frameworks, such as PSyclone and GT4Py, as well as the
  general-purpose parallel programming...\n\n\nGeorgiana Mania (DKRZ) and X
 avier Lapillonne (MeteoSwiss)\n\nDomain: Climate, Weather, and Earth Scien
 ces, Computational Methods and Applied Mathematics\n\nSession Chairs: Geor
 giana Mania (DKRZ) and Xavier Lapillonne (MeteoSwiss)
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