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UID:submissions.supercomputing.org_SC25_sess533_post121@linklings.com
SUMMARY:ChatHPC: Building the Foundations for a Productive and Trustworthy
  AI-Assisted HPC Ecosystem
DESCRIPTION:Pedro Valero-Lara, Aaron Young, Mohammad Alaul Haque Monil, Sw
 aroop Pophale, Zheming Jin, Jeffrey S. Vetter, Keita Teranishi, and Willia
 m F. Godoy (Oak Ridge National Laboratory (ORNL))\n\nChatHPC democratizes 
 large language models for the high performance computing (HPC) community b
 y providing the infrastructure, ecosystem, and knowledge needed to apply m
 odern generative AI technologies to rapidly create specific capabilities f
 or critical HPC components while using relatively modest computational res
 ources. We target major components of the HPC software stack, including pr
 ogramming models, runtimes, I/O, tooling, and math libraries. Thanks to AI
 , ChatHPC provides a more productive HPC ecosystem by boosting important t
 asks related to portability, parallelization, optimization, scalability, a
 nd instrumentation, among others. With relatively small datasets (on the o
 rder of KB), the AI assistants, which are created in a few minutes by usin
 g one node with two NVIDIA H100 GPUs and the ChatHPC library, can create n
 ew capabilities with Meta Code Llama base model to produce high-quality so
 ftware with a level of trustworthiness up to 90% higher than the OpenAI Ch
 atGPT-4o model for critical programming tasks in HPC.\n\nTag: Research & A
 CM SRC Posters\n\nRegistration Category: Technical Program Reg Pass\n\nSes
 sion Chairs: Kento Sato (RIKEN Center for Computational Science (R-CCS)); 
 Chris Schlipalius (Pawsey Supercomputing Research Centre; Commonwealth Sci
 entific and Industrial Research Organisation (CSIRO), Australia); and Anja
  Gerbes (Georg-August-Universität Göttingen)\n\n
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