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UID:submissions.pasc-conference.org_PASC24_sess179_pap118@linklings.com
SUMMARY:Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core
DESCRIPTION:Paper\n\nRobert Jendersie (Otto-von-Guericke-Universitat Magde
 burg); Christian Lessig (ECMWF, Otto-von-Guericke-Universitat Magdeburg); 
 and Thomas Richter (Otto-von-Guericke-Universitat Magdeburg)\n\nThe cryosp
 here plays a significant role in Earth's climate system. Therefore, an acc
 urate simulation of sea ice is of great importance to improve climate proj
 ections. To enable higher resolution simulations, graphics processing unit
 s (GPUs) have become increasingly attractive as they offer higher floating
  point peak performance and better energy efficiency compared to CPUs. How
 ever, making use of this theoretical peak performance, which is based on m
 assive data parallelism, usually requires more care and effort in the impl
 ementation. In recent years, a number of frameworks have become available 
 that promise to simplify general purpose GPU programming. In this work, we
  compare multiple such frameworks, including CUDA, SYCL, Kokkos and PyTorc
 h, for the parallelization of neXtSIM-DG, a finite-element based dynamical
  core for sea ice. We evaluate the different approaches according to their
  usability and performance.\n\nDomain: Climate, Weather, and Earth Science
 s, Computational Methods and Applied Mathematics\n\nSession Chair: Thorste
 n Kurth (NVIDIA Inc.)
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