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DTSTAMP:20210916T132451Z
LOCATION:Jean Calvin
DTSTART;TZID=Europe/Stockholm:20210707T120000
DTEND;TZID=Europe/Stockholm:20210707T123000
UID:submissions.pasc-conference.org_PASC21_sess140_msa269@linklings.com
SUMMARY:LFRic and PSyclone: Meeting Challenges on the Road to Exascale
DESCRIPTION:Minisymposium\n\nLFRic and PSyclone: Meeting Challenges on the
  Road to Exascale\n\nKavcic\n\nLFRic is the new weather and climate modell
 ing system being developed by the UK Met Office to replace the existing Un
 ified Model in preparation for exascale computing in the 2020s. The design
  of the supporting infrastructure follows object-oriented principles to fa
 cilitate modularity and the use of external libraries. One of the guiding 
 design principles, imposed to promote performance portability, is “s
 eparation of concerns” between the science and parallel code. Parall
 el code in LFRic is generated by PSyclone, a code generation system and do
 main-specific language, with the support of LFRic infrastructure, which pr
 ovides APIs to support the distributed memory parallelism via external lib
 raries. PSyclone provides general (e.g. shared memory parallelism) and LFR
 ic-specific optimisations. In this talk we will give an overview of how PS
 yclone is used in LFRic for performance improvements and development of po
 rtability to new pre-exascale and exascale machines.\n\nDomain: CS and Mat
 h, Emerging Applications, Climate and Weather
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