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XinyuSun
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ptxdec-dataset

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code-generation

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XinyuSun commited on Mar 15

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 This dataset accompanies the paper:
-> Sun, X., Tang, F., Zhang, Y., Shen, H., Song, C., & Zhang, D. (2025). Enhancing LLM to Decompile Optimized PTX to Readable CUDA for Tensor Programs. In *2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE)*, pp. 2235–2247. IEEE.
 It contains pairs of input PTX kernels and output CUDA kernels generated by two auto-schedulers: **Ansor** and **Welder**. The dataset is designed to train and evaluate large language models (LLMs) for the task of decompiling optimized PTX back to human-readable CUDA code.

 This dataset accompanies the paper:
+> Sun X, Tang F, Zhang Y, et al. Enhancing LLM to Decompile Optimized PTX to Readable CUDA for Tensor Programs[C]//2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2025: 2235-2247.
 It contains pairs of input PTX kernels and output CUDA kernels generated by two auto-schedulers: **Ansor** and **Welder**. The dataset is designed to train and evaluate large language models (LLMs) for the task of decompiling optimized PTX back to human-readable CUDA code.