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UID:pretalx-pydata-london-2026-DBGAND@pretalx.com
DTSTART;TZID=GMT:20260605T105000
DTEND;TZID=GMT:20260605T122000
DESCRIPTION:Want to write your own GPU algorithms\, but not sure how to get
  started or keep them portable? Come to this hands-on session to learn til
 e programming with CUDA Tile and cuTile Python: you will build an accurate
  mental model of tiles and thread groups\, write and debug real GPU kernel
 s in a browser-based JupyterLab (no installation)\, profile and tune perfo
 rmance with NVIDIA Nsight\, and see how the same tile code applies across 
 DL and HPC examples like LLM inference and conjugate gradient\, including 
 when to use tiles vs SIMT and how to mix both.
DTSTAMP:20260602T223121Z
LOCATION:Grand Hall 1
SUMMARY:GPU Algorithm Authoring with CUDA Tile - Katrina Riehl
URL:https://pretalx.com/pydata-london-2026/talk/DBGAND/
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