ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs

Yang Bai, Wenqian Zhao, Shuo Yin, Zixiao Wang, Bei Yu 0001. ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 4102-4116, Association for Computational Linguistics, 2023. [doi]

@inproceedings{BaiZYW023,
  title = {ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs},
  author = {Yang Bai and Wenqian Zhao and Shuo Yin and Zixiao Wang and Bei Yu 0001},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-main.250},
  researchr = {https://researchr.org/publication/BaiZYW023},
  cites = {0},
  citedby = {0},
  pages = {4102-4116},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-060-8},
}