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DTSTAMP:20250822T115805Z
LOCATION:Room 5.2D02
DTSTART;TZID=Europe/Stockholm:20250617T113000
DTEND;TZID=Europe/Stockholm:20250617T120000
UID:submissions.pasc-conference.org_PASC25_sess134_msa232@linklings.com
SUMMARY:Five Years of SmartSim: The Fast Evolution of AI-Enhanced HPC Work
 flows
DESCRIPTION:Alessandro Rigazzi and Andrew Shao (HPE)\n\nWhen SmartSim was 
 first released in 2020, the intention was that of supporting workflows whe
 re large numerical software needed an ML boost. The ML models involved wer
 e small, fitting onto one single GPU, and could be easily re-trained and r
 eplaced at run-time. Nowadays, ML models are huge, spanning several accele
 rators, and necessitating ad hoc techniques to be deployed avoiding holdin
 g back the execution of large workflows. SmartSim is evolving, its impleme
 ntation going down the stack to harness the totality of the resources offe
 red by modern heterogeneous systems. In this talk, we will look at recent 
 success stories, new developments, and at how SmartSim is morphing into a 
 more open and collaborative project.\n\nDomain: Chemistry and Materials, C
 limate, Weather, and Earth Sciences, Computational Methods and Applied Mat
 hematics\n\nSession Chairs: Riccardo Balin (Argonne National Laboratory) a
 nd Alessandro Rigazzi (HPE)\n\n
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