Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators

Taha Soliman, Amro Eldebiky, Cecilia De la Parra, Andre Guntoro, Norbert Wehn. Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators. In Sakir Sezer, Thomas Büchner, Jürgen Becker 0001, Andrew Marshall, Fahad Siddiqui 0001, Tanja Harbaum, Kieran McLaughlin, editors, 35th IEEE International System-on-Chip Conference, SOCC 2022, Belfast, United Kingdom, September 5-8, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{SolimanEPGW22,
  title = {Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators},
  author = {Taha Soliman and Amro Eldebiky and Cecilia De la Parra and Andre Guntoro and Norbert Wehn},
  year = {2022},
  doi = {10.1109/SOCC56010.2022.9908072},
  url = {https://doi.org/10.1109/SOCC56010.2022.9908072},
  researchr = {https://researchr.org/publication/SolimanEPGW22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {35th IEEE International System-on-Chip Conference, SOCC 2022, Belfast, United Kingdom, September 5-8, 2022},
  editor = {Sakir Sezer and Thomas Büchner and Jürgen Becker 0001 and Andrew Marshall and Fahad Siddiqui 0001 and Tanja Harbaum and Kieran McLaughlin},
  publisher = {IEEE},
  isbn = {978-1-6654-5985-3},
}