ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather. ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 2244-2253, PMLR, 2021. [doi]

@inproceedings{CumminsFBHOL21,
  title = {ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations},
  author = {Chris Cummins and Zacharias V. Fisches and Tal Ben-Nun and Torsten Hoefler and Michael F. P. O'Boyle and Hugh Leather},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/cummins21a.html},
  researchr = {https://researchr.org/publication/CumminsFBHOL21},
  cites = {0},
  citedby = {0},
  pages = {2244-2253},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}