Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis

Shail Dave, Tony Nowatzki, Aviral Shrivastava. Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis. In Tor M. Aamodt, Michael M. Swift, Natalie D. Enright Jerger, editors, Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023. pages 87-107, ACM, 2023. [doi]

@inproceedings{DaveNS23,
  title = {Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis},
  author = {Shail Dave and Tony Nowatzki and Aviral Shrivastava},
  year = {2023},
  doi = {10.1145/3623278.3624772},
  url = {https://doi.org/10.1145/3623278.3624772},
  researchr = {https://researchr.org/publication/DaveNS23},
  cites = {0},
  citedby = {0},
  pages = {87-107},
  booktitle = {Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4, ASPLOS 2023, Vancouver, BC, Canada, March 25-29, 2023},
  editor = {Tor M. Aamodt and Michael M. Swift and Natalie D. Enright Jerger},
  publisher = {ACM},
}