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LOCATION:601
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:Workshop\n\nBrian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fua
 d, and Daniel Wong (University of California, Riverside)\n\nSince CUDA was
  introduced around 15 years ago, it  has developed constantly to accommoda
 te many different functionalities. For beginners in particular, it is alre
 ady difficult remember the expected function parameters of commonly used C
 UDA features, let alone optimize their code by exploiting these new functi
 onalities. To reduce the burden for CUDA programmers, we propose VSCuda - 
 a Visual Studio Code extension for CUDA C/C++ which includes functionaliti
 es including but not limited to - CUDA syntax highlighting, Code Help for 
 all CUDA Runtime API, Code completion for common CUDA functions and integr
 ated code improvement suggestions from state-of-the-art large language mod
 els.\n\nTag: Artificial Intelligence/Machine Learning, Software Engineerin
 g\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Giorgis G
 eorgakoudis (Lawrence Livermore National Laboratory (LLNL)), Ignacio Lagun
 a (Lawrence Livermore National Laboratory (LLNL)), and Konstantinos Parasy
 ris (Lawrence Livermore National Laboratory (LLNL))
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