Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

Hasan Genc, Seah Kim, Alon Amid, Ameer Haj Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt 0001, Samuel Steffl, John Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao. Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. In 58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, CA, USA, December 5-9, 2021. pages 769-774, IEEE, 2021. [doi]

@inproceedings{GencKAHIPZGLMO021,
  title = {Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration},
  author = {Hasan Genc and Seah Kim and Alon Amid and Ameer Haj Ali and Vighnesh Iyer and Pranav Prakash and Jerry Zhao and Daniel Grubb and Harrison Liew and Howard Mao and Albert J. Ou and Colin Schmidt 0001 and Samuel Steffl and John Wright and Ion Stoica and Jonathan Ragan-Kelley and Krste Asanovic and Borivoje Nikolic and Yakun Sophia Shao},
  year = {2021},
  doi = {10.1109/DAC18074.2021.9586216},
  url = {https://doi.org/10.1109/DAC18074.2021.9586216},
  researchr = {https://researchr.org/publication/GencKAHIPZGLMO021},
  cites = {0},
  citedby = {0},
  pages = {769-774},
  booktitle = {58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, CA, USA, December 5-9, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3274-0},
}