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UID:pretalx-juliacon-2026-TATRTG@pretalx.com
DTSTART;TZID=CET:20260813T153000
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DESCRIPTION:QuantumKitHub's various packages provide low- and high-level to
 oling for the implementation of (among other things) tensor network algori
 thms. These algorithms are highly amenable to GPU-based acceleration\, but
  there are many stumbling blocks along the way. In the past year we have b
 een actively working to add GPU support to the whole stack of TN-related p
 ackages\, and in this talk we will discuss the performance benefits and ch
 allenges thus far\, our roadmap\, and how this work can benefit the wider 
 JuliaGPU developer and user community.
DTSTAMP:20260502T102653Z
LOCATION:Room 3
SUMMARY:GPU acceleration in the QuantumKitHub ecosystem - Katharine Hyatt\,
  Lukas Devos
URL:https://pretalx.com/juliacon-2026/talk/TATRTG/
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