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DESCRIPTION:Events from ScaDS.AI
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UID:420-393
DTSTAMP:20260502T091601Z
SUMMARY:AI on HPC: Performance Engineering\, Challenges and Opportunities (
 ISC)
LOCATION:
ORGANIZER;CN=Gina_Valentin:MAILTO:gina.valentin@tu-dresden.de
DTSTART;TZID=Europe/Berlin:20260626T000900
DTEND;TZID=Europe/Berlin:20260626T130000
X-ALT-DESC;FMTTYPE=TEXT/HTML:How can AI workloads be engineered for optimal
  performance in modern HPC environments? The rapid advancement of Artifici
 al Intelligence (AI) and Machine Learning (ML) has positioned High-Perform
 ance Computing (HPC) systems as indispensable platforms for developing\, t
 raining\, and executing these workloads. However\, the architectural compl
 exity and batch-oriented design of traditional HPC systems pose unique cha
 llenges distinct&hellip\;
CATEGORIES:Transfer
URL;VALUE=URI:https://scads.ai/calendar/ai-on-hpc-performance-engineering-c
 hallenges-and-opportunities-isc/
METHOD:PUBLISH
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