Abstract
The CUDA programming language has developed to constantly accommodate new functionalities since its introduction. For beginners in particular, it is already difficult to remember the expected function parameters of commonly used CUDA features, let alone optimize their code by exploiting newly introduced functionalities. To reduce the burden for CUDA programmers, we propose VSCuda, a Visual Studio Code extension for CUDA C/C++ that includes functionalities including but not limited to CUDA syntax highlighting, code help for all CUDA APIs, code completion for all CUDA functions, and integrated code improvement suggestions from state-of-the-art large language models.
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CITATION STYLE
Chen, B., Mustakin, N., Hoang, A., Fuad, S., & Wong, D. (2023). VSCuda: LLM based CUDA extension for Visual Studio Code. In ACM International Conference Proceeding Series (pp. 11–17). Association for Computing Machinery. https://doi.org/10.1145/3624062.3624064
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