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DTSTAMP:20260422T000712Z
LOCATION:708
DTSTART;TZID=America/Denver:20231113T163000
DTEND;TZID=America/Denver:20231113T173000
UID:submissions.supercomputing.org_SC23_sess451_miscp113@linklings.com
SUMMARY:Top 5 Challenges  in Programming Models and Runtimes for Large Lan
 guage Models Training/Inference
DESCRIPTION:Zhao Zhang (Rutgers University), Rick Stevens (University of C
 hicago), Rio Yokota (Tokyo Institute of Technology), Leon Song (Microsoft 
 Corporation), and Torsten Hoefler (ETH Zurich - Swiss Federal Institute of
  Technology)\n\nIn this panel, we focus on the challenges in programming m
 odels and runtime system for large language model training/inference. We i
 nvite researchers across academia, national labs, and industry to share th
 eir experience and vision on programming tools, runtime performance, archi
 tecture, optimization, scalability, I/O, data, and communication to facili
 tate LLMs on supercomputers. The discussion will cover LLM pretraining, fi
 ne-tuning, deployment, and usage in science. We will identify the Top 5 ch
 allenges across these areas.\n\nTag: Large Scale Systems, Middleware and S
 ystem Software, Programming Frameworks and System Software\n\nRegistration
  Category: Workshop Reg Pass\n\nSession Chairs: Dhabaleswar K. (DK) Panda 
 (The Ohio State University), Karl Schulz (Advanced Micro Devices (AMD) Inc
 ), Aamir Shafi (The Ohio State University), and Hari Subramoni (The Ohio S
 tate University)\n\n
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