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DTSTAMP:20250822T115805Z
LOCATION:Room 5.0B56
DTSTART;TZID=Europe/Stockholm:20250618T090000
DTEND;TZID=Europe/Stockholm:20250618T110000
UID:submissions.pasc-conference.org_PASC25_sess110@linklings.com
SUMMARY:MS5C - What the Actual FORTRAN? – Radiation Edition
DESCRIPTION:Fortran, the primary programming language underpinning many op
 erational weather and climate codes, was built around the fundamental prin
 ciple that performance optimisation is left to the compiler. However, to f
 ully utilise modern HPC architectures and GPUs, additional programming par
 adigms as well as invasive code changes are often needed to efficiently ta
 rget modern HPC accelerators. While high-level DSLs or C-based abstraction
  layers like Kokkos and Raja provide a disruptive path to performance port
 ability, for Fortran such abstractions are lacking. This leads to the fund
 amental question “What the actual FORTRAN can we do to achieve performance
  portability for complex physical models?” In this minisymposium we contin
 ue this ongoing discussion by looking at cross-architecture portability of
  ecRad, ECMWF’s state-of-the-art operational radiation model. ecRad is act
 ively used in research or operational contexts at various European weather
  and climate institutions and is written in a modular fashion in modern, o
 bject-oriented Fortran. We highlight the complexities and challenges that 
 its numerous compute kernels and several alternative solvers pose, and, to
 gether with industrial and academic partners, discuss different strategies
  towards a maintainable cross-platform adaptation strategy that runs effic
 iently across different HPC architectures.\n\nAccelerating Radiation on NV
 IDIA GPUs\n\nThis talk will provide valuable insights for developers and r
 esearchers in high-performance scientific computing with GPUs. We will exp
 lore the acceleration of radiation simulation using the ecRad code on NVID
 IA GPUs, discussing the functional and performance-related modifications n
 eeded for code pa...\n\n\nAnastasia Stulova, Dmitry Alexeev, and Lukas Mos
 imann (NVIDIA Inc.)\n---------------------\nAchieving (EC)Radiance on AMD 
 GPUs with the AMD Next Generation Fortran Compiler\n\nFortran continues to
  be a powerful programming language used in scientific computing, particul
 arly in fields such as weather and climate modeling. Recognizing its impor
 tance, AMD has developed a next-generation Fortran compiler built on the o
 pen-source LLVM Flang project. This initiative aims to emp...\n\n\nPaul Mu
 llowney, Thomas Gibson, and Michael Klemm (AMD, Inc)\n--------------------
 -\nPerformance Study of the ECRAD Benchmark\n\nWe discuss the establishmen
 t of well-defined and relevant performance challenges for this benchmark s
 uite and the corresponding performance metrics useful for performance meas
 urements. We investigate code refactoring opportunities, and we will try t
 o draw parallels to the opportunities found in othe...\n\n\nMikko Byckling
 , Nitya Hariharan, Camilo Moreno, and Poulsen Jacob (Intel Corporation)\n-
 --------------------\nFrom Fortran to GPU: The Data-Centric Journey of ECR
 AD\n\nFortran remains, despite various efforts, the dominant language for 
 answering pressing climate-related questions such as when to sell beachfro
 nt property, or where to plant olive groves. These, and more serious quest
 ions, require the use of ever larger supercomputers as the resolution of o
 ur models ...\n\n\nAlexandru Calotoiu (ETH Zurich) and Torsten Hoefler (ET
 H Zurich / CSCS)\n\nDomain: Climate, Weather, and Earth Sciences, Computat
 ional Methods and Applied Mathematics\n\nSession Chairs: Michael Lange (EC
 MWF) and Balthasar Reuter (ECMWF)
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