PolyBench/Python: benchmarking Python environments with polyhedral optimizations

Miguel Á. Abella-González, Pedro Carollo-Fernández, Louis-Noël Pouchet, Fabrice Rastello, Gabriel Rodríguez 0001. PolyBench/Python: benchmarking Python environments with polyhedral optimizations. In Aaron Smith, Delphine Demange, Rajiv Gupta 0001, editors, CC '21: 30th ACM SIGPLAN International Conference on Compiler Construction, Virtual Event, Republic of Korea, March 2-3, 2021. pages 59-70, ACM, 2021. [doi]

@inproceedings{Abella-Gonzalez21,
  title = {PolyBench/Python: benchmarking Python environments with polyhedral optimizations},
  author = {Miguel Á. Abella-González and Pedro Carollo-Fernández and Louis-Noël Pouchet and Fabrice Rastello and Gabriel Rodríguez 0001},
  year = {2021},
  doi = {10.1145/3446804.3446842},
  url = {https://doi.org/10.1145/3446804.3446842},
  researchr = {https://researchr.org/publication/Abella-Gonzalez21},
  cites = {0},
  citedby = {0},
  pages = {59-70},
  booktitle = {CC '21: 30th ACM SIGPLAN International Conference on Compiler Construction, Virtual Event, Republic of Korea, March 2-3, 2021},
  editor = {Aaron Smith and Delphine Demange and Rajiv Gupta 0001},
  publisher = {ACM},
  isbn = {978-1-4503-8325-7},
}