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UID:c59ddbb8-83c0-4a9c-98ef-a84f01d7aa69@support.access-ci.org
DTSTAMP:20260716T152211Z
DTSTART:20260727T130000Z
DTEND:20260727T210000Z
SUMMARY:PEARC DragonHPC Tutorial
DESCRIPTION:Incorporating AI capabilities into traditional HPC workflows in
 troduces many challenges for application developers, as it brings together
  two very different computational paradigms. Python can serve as a common 
 language to bridge these domains, but, as a general purpose language, the 
 exact interfaces to scientific applications, workflow design motifs, and r
 untimes that enable performance and scalability are still being explored a
 nd developed. This tutorial will help attendees develop skills for buildin
 g AI-coupled HPC workflows using the DragonHPC project along with GPU-acce
 lerated tools like PyTorch and vLLM. Attendees will first learn the fundam
 entals of using DragonHPC for Python multiprocessing on GPUs across multip
 le nodes. Hands-on exercises will then introduce them to aspects of the Dr
 agonHPC API for orchestrating both Python and traditional HPC (MPI-based) 
 applications, leveraging GPU acceleration, coupled through fast data excha
 nge with DragonHPC’s in-memory distributed dictionary. From there, we wi
 ll explore a number of execution and data-transfer motifs common to hybrid
  AI-HPC workflows. attendees will interact with lead developers from Drago
 nHPC and learn about its applications in the scientific workflows communit
 y.
URL:https://support.access-ci.org/events/8880
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