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DTSTART;TZID=America/Denver:20231113T105000
DTEND;TZID=America/Denver:20231113T111000
UID:submissions.supercomputing.org_SC23_sess443_ws_ai4dev103@linklings.com
SUMMARY:VSCuda: LLM-Based CUDA Extension for Visual Studio Code
DESCRIPTION:Brian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fuad, and Danie
 l Wong (University of California, Riverside)\n\nSince CUDA was introduced 
 around 15 years ago, it  has developed constantly to accommodate many diff
 erent functionalities. For beginners in particular, it is already difficul
 t remember the expected function parameters of commonly used CUDA features
 , let alone optimize their code by exploiting these new functionalities. T
 o reduce the burden for CUDA programmers, we propose VSCuda - a Visual Stu
 dio Code extension for CUDA C/C++ which includes functionalities including
  but not limited to - CUDA syntax highlighting, Code Help for all CUDA Run
 time API, Code completion for common CUDA functions and integrated code im
 provement suggestions from state-of-the-art large language models.\n\nTag:
  Artificial Intelligence/Machine Learning, Software Engineering\n\nRegistr
 ation Category: Workshop Reg Pass\n\nSession Chairs: Giorgis Georgakoudis 
 (Lawrence Livermore National Laboratory (LLNL)), Ignacio Laguna (Lawrence 
 Livermore National Laboratory (LLNL)), and Konstantinos Parasyris (Lawrenc
 e Livermore National Laboratory (LLNL))\n\n
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