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UID:pretalx-pidfest-26-2026-3CGJYT@pretalx.surf.nl
DTSTART;TZID=CET:20261027T150000
DTEND;TZID=CET:20261027T154500
DESCRIPTION:Are you involved in or assisting researchers with either making
  datasets produced in HPC environments available for reuse or trying to fi
 nd the data you need for your work and finding it utterly cumbersome? Have
  you ever wondered about how AI applications can best find the training da
 ta required for a specific task across infrastructural boundaries? Indeed\
 , in many domains\, data are created at large\, distributed HPC centers bu
 t are not operationally assigned globally resolvable PIDs at the point of 
 production\, making it hard to identify\, track\, and reuse these datasets
  across infrastructures.\n\nIn this BoF\, you will discuss how PIDs could 
 be integrated directly into HPC workflows at simulation runtime\, explore 
 current technical ideas and challenges\, and discuss what would be needed 
 to make data practically immediately usable across federated HPC systems. 
 The focus is on practical questions around data access\, metadata\, proven
 ance\, and interoperability.
DTSTAMP:20260728T010231Z
LOCATION:LUMC02
SUMMARY:Exploring PID applicability to HPC and AI Workflows: enabling quick
  turnaround from data creation to reuse - Karsten Peters-von Gehlen
URL:https://pretalx.surf.nl/pidfest-26-2026/talk/3CGJYT/
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