GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications

Xinran Zhu, Yang Liu 0179, Pieter Ghysels, David Bindel, Xiaoye S. Li. GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. In Xiaoye S. Li, Keita Teranishi, editors, Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, PPSC 2022, Seattle, WA, USA, February 23-26, 2022. pages 1-13, SIAM, 2022. [doi]

@inproceedings{ZhuLGBL22,
  title = {GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications},
  author = {Xinran Zhu and Yang Liu 0179 and Pieter Ghysels and David Bindel and Xiaoye S. Li},
  year = {2022},
  doi = {10.1137/1.9781611977141.1},
  url = {https://doi.org/10.1137/1.9781611977141.1},
  researchr = {https://researchr.org/publication/ZhuLGBL22},
  cites = {0},
  citedby = {0},
  pages = {1-13},
  booktitle = {Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, PPSC 2022, Seattle, WA, USA, February 23-26, 2022},
  editor = {Xiaoye S. Li and Keita Teranishi},
  publisher = {SIAM},
  isbn = {978-1-61197-714-1},
}