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DTSTAMP:20220812T074335Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220629T140000
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UID:submissions.pasc-conference.org_PASC22_sess162_msa245@linklings.com
SUMMARY:PSyclone: Enabling Performance Portability for Climate and Weather
  Codes
DESCRIPTION:Minisymposium\n\nPSyclone: Enabling Performance Portability fo
 r Climate and Weather Codes\n\nMaynard, Ford\n\nClimate and weather codes 
 are heavily used on HPC machines, not least due to the significant benefit
 s delivered by timely and accurate results from running such models. Drive
 n by the ambition to provide better insights about current weather pattern
 s and unlock some of the complexities associated with climate change, scie
 ntists are continually pushing for the ability to model larger systems, mo
 re accurately and at reduced time to solution. The need for more computati
 onal power has driven the adoption of ever larger scale supercomputers. Ho
 wever a major challenge is in the programming and optimisation of such cod
 es for these increasingly diverse and heterogeneous architectures. We beli
 eve that improved maintainability and performance portability as promised 
 by DSLs is crucial if domains such as weather and climate are to take full
  advantage of next-generation exascale systems. This talk introduces PSycl
 one, an embedded DSL within Fortran, which enables science developers to c
 oncentrate on the science of their code rather than the tricky and low lev
 el details of parallelism. PSyclone is being used by the Met Office in LFR
 ic, their next generation atmosphere model and is being developed for use 
 in the NEMO ocean model, which is run by many of the major weather centres
 .\n\nDomain: Computer Science and Applied Mathematics
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