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- research-articleJune 2022
ExeBench: an ML-scale dataset of executable C functions
- Jordi Armengol-Estapé,
- Jackson Woodruff,
- Alexander Brauckmann,
- José Wesley de Souza Magalhães,
- Michael F. P. O'Boyle
MAPS 2022: Proceedings of the 6th ACM SIGPLAN International Symposium on Machine ProgrammingJune 2022, Pages 50–59https://doi.org/10.1145/3520312.3534867Machine-learning promises to transform compilation and software engineering, yet is frequently limited by the scope of available datasets. In particular, there is a lack of runnable, real-world datasets required for a range of tasks ranging from neural ...
- research-articleJune 2022
A graph neural network-based performance model for deep learning applications
MAPS 2022: Proceedings of the 6th ACM SIGPLAN International Symposium on Machine ProgrammingJune 2022, Pages 11–20https://doi.org/10.1145/3520312.3534863The unprecedented proliferation of machine learning based software brings an ever-increasing need to optimize the implementation of such applications. State-of-the-art compilers for neural networks, such as Halide and TVM, incorporate a machine learning-...