A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems

Michael Wilkins, Yanfei Guo, Rajeev Thakur, Nikos Hardavellas, Peter A. Dinda, Min-Si. A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems. In Workshop on Exascale MPI, ExaMPI@SC 2021, St. Louis, MO, USA, November 14, 2021. pages 36-45, IEEE, 2021. [doi]

@inproceedings{WilkinsGTHDS21,
  title = {A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems},
  author = {Michael Wilkins and Yanfei Guo and Rajeev Thakur and Nikos Hardavellas and Peter A. Dinda and Min-Si},
  year = {2021},
  doi = {10.1109/ExaMPI54564.2021.00010},
  url = {https://doi.org/10.1109/ExaMPI54564.2021.00010},
  researchr = {https://researchr.org/publication/WilkinsGTHDS21},
  cites = {0},
  citedby = {0},
  pages = {36-45},
  booktitle = {Workshop on Exascale MPI, ExaMPI@SC 2021, St. Louis, MO, USA, November 14, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1108-0},
}