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DTSTART;TZID=Europe/Stockholm:20260629T133000
DTEND;TZID=Europe/Stockholm:20260629T153000
UID:submissions.pasc-conference.org_PASC26_sess109@linklings.com
SUMMARY:MS1F - What the FORTRAN? – Drowning in Waves Edition
DESCRIPTION:Access the recording\n\nOrganizer(s): Ahmad Nawab, Michael Lan
 ge, and Balthasar Reuter (ECMWF)\n\nFortran, the primary programming langu
 age underpinning many operational weather and climate codes, was built aro
 und the fundamental principle that performance optimisation is left to the
  compiler. However, to fully utilise modern HPC architectures and GPUs, ad
 ditional programming paradigms as well as invasive code changes are often 
 needed. While high-level DSLs or C-based abstraction layers like Kokkos pr
 ovide a disruptive path to performance portability, for Fortran such abstr
 actions are lacking. This leads to the fundamental question “What the actu
 al FORTRAN can we do to achieve performance portability for complex physic
 al models?” In this minisymposium we continue this discussion by looking a
 t cross-architecture portability of ecWAM, ECMWF’s operational wave model.
  ecWAM is a key component of ECMWF’s Integrated Forecasting System (IFS), 
 and is also used operationally in all the IFS-derived Destination Earth di
 gital twins. We highlight the complexities and challenges that its diverse
  range of computing patterns pose, and together with industrial and academ
 ic partners, discuss different strategies towards a maintainable cross-pla
 tform adaptation strategy that runs efficiently across different HPC archi
 tectures. As ecWAM shares many similarities with other scientifically stat
 e-of-the-art third generation wave models, this minisymposium potentially 
 offers a wide-ranging impact across the weather and climate communities.\n
 \nFrom Parallelism to Bytes in Flight: Modernising ecWAM for Memory-Bandwi
 dth-Dominated AI-Era GPUs\n\nWeather and climate models are complex scient
 ific applications, often written in Fortran requiring performance portabil
 ity across diverse high-performance computing architectures. As these code
 s are mainly maintained by domain scientists, extensive hardware-specific 
 rewrites are often impractical. D...\n\n\nAnastasia Stulova and Lukas Mosi
 mann (NVIDIA Inc.)\n---------------------\nYou Never Really Cared About Do
 uble Precision, Did You?\n\nAs scientific applications, especially large F
 ortran simulations, are increasingly expected to run efficiently on hardwa
 re originally designed for machine learning workloads, performance portabi
 lity has become essential. At the same time, the reduced precision support
 ed by such hardware poses a majo...\n\n\nAlexandru Calotoiu, Pratyai Mazum
 der, and Torsten Hoefler (ETH Zurich)\n---------------------\nMaking Waves
  on AMD GPUs with the AMD Next-Generation Fortran Compiler\n\nFortran rema
 ins a key language in scientific computing, especially in domains such as 
 weather and climate modelling. In that context, AMD has created a next-gen
 eration Fortran compiler based on the open-source LLVM Flang project, enab
 ling HPC developers to exploit AMD GPUs through OpenMP target synt...\n\n\
 nPaul Mullowney (AMD, Inc)\n---------------------\nAre CPUs Still Relevant
  for Weather Codes?\n\nWe discuss the establishment of well-defined and re
 levant performance challenges for the ecwam dwarf. We investigate code ref
 actoring opportunities, and we will try to draw parallels to the opportuni
 ties found in other dwarfs from ECMWF. Finally, we present performance res
 ults obtained on specific I...\n\n\nJacob Poulsen and Igor Vorobtsov (Inte
 l Corporation)\n\nDomain: Climate, Weather, and Earth Sciences\n\nSession 
 Chair: Ahmad Nawab (ECMWF)
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