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DTSTART;TZID=Europe/Stockholm:20230627T170000
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UID:submissions.pasc-conference.org_PASC23_sess129_msa121@linklings.com
SUMMARY:Porting ICON to AMD GPUs: Lessons Learned
DESCRIPTION:Minisymposium\n\nPeter Wauligmann and Aniello Esposito (HPE)\n
 \nThe AMD Instinct MI250X GPU has rapidly become a key element of some of 
 the most performant supercomputers in Europe and the USA. This steep ascen
 t confronts HPC vendors and customers with significant challenges. While t
 he system providers are committed to deliver a software stack that can lev
 erage the significant potential of the new hardware early on, the applicat
 ion developers must port and optimize their codes on the new platform. Thi
 s talk summarises the experiences gained with the ICON weather forecast mo
 del during the LUMI supercomputer procurement and acceptance. The core cha
 llenge consisted in bridging the performance and functionality gap between
  the NVIDIA and Cray compiler environment (CCE) for OpenACC which required
  a significant effort, while the application itself was gradually adapted 
 to run most efficiently on the new hardware. We also report experiences wi
 th debugging and profiling tools from HPE, NVIDIA, and AMD which played a 
 crucial role in this work. The resulting implementation was tested success
 fully on up to 2150 LUMI nodes demonstrating that Europe’s fastest superco
 mputer is ready for challenging workloads.\n\nDomain: Computer Science, Ma
 chine Learning, and Applied Mathematics 
\n\nSession Chair: Aniello Esposi
 to (HPE)
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