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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260202T201806Z
LOCATION:Booth 3537 - SCinet Theater
DTSTART;TZID=America/Chicago:20251118T163000
DTEND;TZID=America/Chicago:20251118T170000
UID:submissions.supercomputing.org_SC25_sess584_misc248@linklings.com
SUMMARY:State of the Art GPU Code Generation with Reinforcement Learning
DESCRIPTION:Waleed Atallah (mako.dev)\n\nWriting high performance parallel
  code takes a long time and offers a steep learning curve. Today's LLMs ar
 e helpful, but not quite up to the task. We create an agent architecture w
 ith a fine tuned model that achieves state of the art results, allowing an
 yone to write code for GPUs effectively.\n\nRecording: Not Livestreamed, N
 ot Recorded\n\nRegistration Category: Technical Program Reg Pass, Exhibits
  Reg Pass\n\nSession Chairs: Hervey Allen (University of Oregon, Network S
 tartup Resource Center; University of Oregon) and Tim Osborne (Oak Ridge N
 ational Laboratory (ORNL))\n\n
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