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DTSTAMP:20220812T074334Z
LOCATION:Foyer 2nd Floor
DTSTART;TZID=Europe/Stockholm:20220628T090000
DTEND;TZID=Europe/Stockholm:20220628T110000
UID:submissions.pasc-conference.org_PASC22_sess181_pos156@linklings.com
SUMMARY:P43 - Developing a Performance-Portable Finite-Volume Core for Num
 erical Weather Prediction
DESCRIPTION:Poster\n\nP43 - Developing a Performance-Portable Finite-Volum
 e Core for Numerical Weather Prediction\n\nKühnlein, Ehrengruber, González
  Paredes, Krieger, Papritz...\n\nWe highlight the ongoing development of a
  performance-portable version of the finite-volume dynamical core IFS-FVM 
 for high-resolution global weather prediction at ECMWF and its partners at
  ETH Zurich and CSCS. Starting from the science expressed in the tradition
 al Fortran programming with hybrid MPI/OpenMP parallelization targeting CP
 Us, the challenges associated with diverse emerging and future supercomput
 ing architectures are addressed by a comprehensive software redesign based
  on GT4Py. The GT4Py framework includes a high-level Python-embedded DSL t
 o implement stencil computations in weather and climate applications. The 
 toolchain integrated in GT4Py enables automatic code-generation and optimi
 zation to achieve high-performance execution across a range of computing a
 rchitectures and adaptation to latest energy-efficient hardware. The syste
 matic separation of the scientific model implementation from the performan
 ce engineering improves development, debugging, maintenance and introducti
 on of new developers and users in their specific fields. The IFS-FVM emplo
 ys non-oscillatory forward-in-time (NFT) semi-implicit numerical integrati
 on of the compressible equations with robust high-resolution capabilities 
 in regional and global domains. The poster presentation will emphasize the
  exciting efforts and goals in the PASC funded project KILOS (“Kilometre-s
 cale nonhydrostatic global weather forecasting with IFS-FVM”) in 2021-2024
  at ETH Zurich.
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