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UID:c59ddbb8-83c0-4a9c-98ef-a84f01d7aa69@support.access-ci.org
DTSTAMP:20260201T213918Z
DTSTART:20260727T150000Z
DTEND:20260727T230000Z
SUMMARY:PEARC DragonHPC Tutorial
DESCRIPTION:Incorporating AI capabilities into traditional HPC workflows in
 troduces many challenges for application developers, as it brings together
  twovery different computational paradigms. Python can serve as a common l
 anguage to bridge these domains, but, as a general-purpose language,the ex
 act interfaces to scientific applications, workflow design motifs, and run
 times that enable performance and scalability are still beingexplored and 
 developed. This tutorial will help attendees develop skills for building A
 I-coupled HPC workflows using the DragonHPC projectalong with GPU-accelera
 ted tools like PyTorch and vLLM for end-to-end workflow orchestration. Att
 endees will first learn the fundamentals ofusing DragonHPC for Python mult
 iprocessing on GPUs across multiple nodes. Hands-on exercises will then in
 troduce them to aspects of theDragonHPC API for orchestrating both Python 
 and traditional HPC (MPI-based) applications, leveraging GPU acceleration,
  coupled throughfast data exchange with DragonHPC’s in-memory distribute
 d dictionary. From there, we will explore a number of execution and data-t
 ransfermotifs common to hybrid AI-HPC workflows. Attendees will interact w
 ith lead developers from DragonHPC and learn about its applications in the
 workflow community.
URL:https://support.access-ci.org/events/8880
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