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UID:submissions.pasc-conference.org_PASC24_sess123@linklings.com
SUMMARY:MS5A - Bridging the Gap: Addressing Software Engineering Challenge
 s for High Resolution Weather and Climate Simulations
DESCRIPTION:Minisymposium\n\nHPC is driving scientific progress in fields 
 as diverse as weather forecasting, life sciences and physics simulations. 
 However, adapting to the evolving hardware diversity is a major challenge 
 for the climate, weather, and geoscience community, as their codes are oft
 en very large and have evolved over decades. This minisymposium focuses on
  the challenges faced by weather and climate model developers: 1. Optimisi
 ng performance and parallel programming on diverse supercomputers, despite
  programming standards that often require manual coding for system transit
 ions. 2. Exploring new tools and languages for better productivity and per
 formance on different hardware, balancing optimisations without compromisi
 ng performance. 3. Improve code modularity and software practices for larg
 e scientific bases, adapting to evolving hardware and scientific needs. 4.
  Bridging the gap between domain scientists and research software engineer
 s, balancing coding expertise with performance optimisation. The minisympo
 sium is twinned with the session “High resolution simulations on large HPC
  systems”, which takes a closer look at recent results gained on (pre-)exa
 scale systems for different weather and climate models.\n\nPortable Progra
 mming Approaches in the ICON Climate Model\n\nThe most powerful supercompu
 ters in the (pre)-exascale class are often based on heterogeneous architec
 tures and are produced by different vendors. In order to make use of these
  various hardware resources, the scientific applications are required to c
 ontinuously increase their portability. However, t...\n\n\nGeorgiana Mania
  (DKRZ)\n---------------------\nLoki: A Source-To-Source Translation Tool 
 for Numerical Weather Prediction Codes and More\n\nEstablished numerical w
 eather prediction (NWP) and climate modeling codes, such as ECMWF's Integr
 ated Forecasting System (IFS), have been developed over decades and compri
 se a large monolithic code base. Over the course of their lifetime, comput
 e architectures have evolved from vector computers to d...\n\n\nBalthasar 
 Reuter and Michael Lange (ECMWF)\n---------------------\nManaging Complexi
 ty of Weather and Climate Code with Diversity of Skills and Workflows\n\nL
 FRic is the new weather and climate model developed by the Met Office to r
 eplace the existing Unified Model (UM). LFRic is at the core of Momentum®,
  a new Unified Earth Environment Prediction Framework created by the Met O
 ffice and its partners to deliver a seamless modelling capability that mee
 ts ...\n\n\nIva Kavcic (Met Office)\n---------------------\nWhat if Weathe
 r and Climate Models were Written in Python?\n\nAs of today, the majority 
 of weather and climate models are implemented in Fortran and extended with
  a selection of compiler directives to enable execution of multicore CPUs,
  vector units or graphics processing units (GPUs). The consequence is that
  developers struggle to keep pace with a repidly evo...\n\n\nOliver Fuhrer
  (MeteoSwiss, ETH Zurich)\n\nDomain: Climate, Weather, and Earth Sciences,
  Computational Methods and Applied Mathematics\n\nSession Chair: Xavier La
 pillonne (MeteoSwiss)
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