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UID:submissions.supercomputing.org_SC24_sess662_bof229@linklings.com
SUMMARY:Toward Integrating LLMs in HPC Software Development
DESCRIPTION:Daniel Nichols and Abhinav Bhatele (University of Maryland); W
 illiam Godoy (Oak Ridge National Laboratory (ORNL)); Arjun Guha (Northeast
 ern University, Khoury College of Computer Sciences); Harshitha Menon and 
 Konstantinos Parasyris (Lawrence Livermore National Laboratory (LLNL)); an
 d Pedro Valero-Lara (Oak Ridge National Laboratory (ORNL))\n\nLarge Langua
 ge Model (LLM) based coding assistants have already proven to be useful to
 ols for aiding software developers. Adapting these tools in HPC software d
 evelopment will greatly improve the quality and time-to-development of sci
 entific codes. This will create an environment where researchers can devot
 e more attention to scientific challenges and less to software development
  intricacies, driving scientific progress forward. However, LLM-based tool
 s can be difficult to use and present many dangers in the form of over-rel
 iance, inaccuracies, and intellectual property. This BoF provides a place 
 for the community to discuss the use of LLMs for HPC software development.
 \n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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