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UID:submissions.pasc-conference.org_PASC24_sess112_msa262@linklings.com
SUMMARY:Large Language Models for Parallel and HPC Code
DESCRIPTION:Minisymposium\n\nDaniel Nichols (University of Maryland)\n\nLa
 rge Language Model-based coding assistants have already proven to be extre
 mely useful tools for aiding the efficiency and correctness of software de
 velopers. Adapting these tools in scientific software development will gre
 atly improve the quality and quantity of scientific code being developed, 
 leading to the creation of more robust and dependable software tools and f
 rameworks. However, scientific code often comes with many requirements suc
 h as parallelism, performance, and fidelity that LLMs do not yet handle we
 ll. In this presentation, we talk about the current status of state of the
  art LLMs for parallel and HPC code and how to improve their performance i
 n assisting with scientific software development.\n\nDomain: Computational
  Methods and Applied Mathematics\n\nSession Chairs: Florina Ciorba (Univer
 sity of Basel) and Harshitha Menon (Lawrence Livermore National Laboratory
 )
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