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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20241120T082409Z
LOCATION:HG E 1.2
DTSTART;TZID=Europe/Stockholm:20240605T123000
DTEND;TZID=Europe/Stockholm:20240605T130000
UID:submissions.pasc-conference.org_PASC24_sess127_msa221@linklings.com
SUMMARY:Impact of Code Refactoring for Heterogeneous Platforms to Performa
 nce Portability
DESCRIPTION:Minisymposium\n\nMikko Byckling, Camilo Moreno, and Jacob Poul
 sen (Intel Corporation)\n\nWe investigate how code refactoring of CLOUDSC 
 benchmark impacts the performance portability across different hardware pl
 atforms and code revisions. For hardware platforms, we choose Intel® Xeon®
  Processor CPUs and Intel® Data Center GPU Max Series GPUs. For code revis
 ions, we choose Fortran with OpenMP, Fortran with OpenMP offload and SYCL 
 versions of the CLOUDSC benchmark. Besides performance, we discuss main ch
 allenges identified in cross-platform comparisons and propose some possibl
 e methods to resolve them.\n\nDomain: Climate, Weather, and Earth Sciences
 , Computational Methods and Applied Mathematics\n\nSession Chairs: Michael
  Lange (ECMWF) and Balthasar Reuter (ECMWF)
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