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DTSTART;TZID=Europe/Stockholm:20240604T163000
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UID:submissions.pasc-conference.org_PASC24_sess150_msa302@linklings.com
SUMMARY:Porting and Optimizing Momentum, CASIM and SOCRATES for GPU Archit
 ectures
DESCRIPTION:Minisymposium\n\nChristopher Maynard (Met Office); Wei Zhang, 
 Matthew Norman, Min Xu, Salil Mahajan, and Katherine Evans (Oak Ridge Nati
 onal Laboratory); and Jonathan Wilkinson, James Manners, and Ben Shipway (
 Met Office)\n\nExploiting GPUs is both an opportunity and a challenge for 
 weather and climate codes. They present an opportunity as the massive para
 llelism they possess can allow these codes to achieve very high computatio
 nal performance. They present a challenge as exploiting this parallelism c
 an require the refactoring of many thousands of lines of science code and 
 a new programming model from existing CPU code bases. In this presentation
 , we will describe the development of the GPU-enabled cloud microphysics s
 cheme - CASIM and radiation scheme - SOCRATES, and a Domain Specific Langu
 age the Met Office is using to achieve performance portability for its new
  weather and climate model, LFRic and the wider modelling system known as 
 Momentum. We will show how the Met Office is using PSyclone, a Domain Spec
 ific Compiler to keep single source science code whilst targeting multiple
  programming models for different processor architectures. The presentatio
 n will conclude the strategy and progress for porting and optimizing Momen
 tum for GPUs, and how PSyclone follows the porting experience of ORNL to o
 ptimize CASIM and SOCRATES on GPUs.\n\nDomain: Climate, Weather, and Earth
  Sciences, Computational Methods and Applied Mathematics\n\nSession Chairs
 : Iva Kavcic (Met Office), Christopher Michael Maynard (Met Office), and W
 ei Zhang (Oak Ridge National Laboratory)
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