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UID:submissions.pasc-conference.org_PASC24_sess127_msa215@linklings.com
SUMMARY:Same Fortran, New Performance Portability
DESCRIPTION:Minisymposium\n\nAlexandru Calotoiu and Torsten Hoefler (ETH Z
 urich)\n\nFortran is the dominant language on many supercomputers. Fortran
  codes are highly tuned towards CPU performance but struggle to achieve th
 e same performance on GPUs despite their increasing adoption in supercompu
 ters all over the world. To better support Fortran applications in HPC, we
  automatically translate Fortran to a flexible, data-centric representatio
 n, preserving the rich semantic information it offers. We leverage this in
 formation, along with data-centric transformations to express both functio
 nal and data parallelism and allow efficient code to be generated for both
  CPUs and GPUs. Using a representative code from an operational weather fo
 recasting model as a case study,  we create a perfectly data-parallel prog
 ram representation and generate CPU and GPU implementations with runtimes 
 outperforming both serial and OpenMP parallel CPU implementations as well 
 as being on par with the best manually written versions on GPU, without ch
 anging the Fortran code.\n\nDomain: Climate, Weather, and Earth Sciences, 
 Computational Methods and Applied Mathematics\n\nSession Chairs: Michael L
 ange (ECMWF) and Balthasar Reuter (ECMWF)
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