"Towards Automatic and Agile AI/ML Accelerator Design with End-to-End ..."

Jeff Jun Zhang et al. (2021)

> Home

Details and statistics

DOI: 10.1109/ASAP52443.2021.00040

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/asap/ZhangASTLAMMCTW21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/asap/ZhangASTLAMMCTW21
Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks:
Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis. ASAP 2021: 218-225

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.