Mascinissa/LOOPerSet

LOOPerSet: A Large-Scale Dataset for Data-Driven Polyhedral Optimization Dataset at a Glance LOOPerSet is a corpus of 28 million labeled compilation traces designed for machine learning research in compilers and systems. It maps synthetically generated loop nests and complex optimization sequences to ground-truth execution times measured on physical hardware. Transformation sequences were generated using a polyhedral compilation framework to ensure they… See the full description on the dataset page: https://huggingface.co/datasets/Mascinissa/LOOPerSet.