"Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep ..."

Yu-Hsin Chen et al. (2017)

> Home

Details and statistics

DOI: 10.1109/JSSC.2016.2616357

access: closed

type: Journal Article

metadata version: 2020-08-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jssc/ChenKES17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jssc/ChenKES17
Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze:
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE J. Solid State Circuits 52(1): 127-138 (2017)

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.