"Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting ..."

Kazutoshi Hirose et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ISSCC42614.2022.9731668

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/isscc/HiroseYAOGSCKM22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/isscc/HiroseYAOGSCKM22
Kazutoshi Hirose, Jaehoon Yu, Kota Ando, Yasuyuki Okoshi, Ángel López García-Arias, Junnosuke Suzuki, Thiem Van Chu, Kazushi Kawamura, Masato Motomura:
Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet. ISSCC 2022: 1-3

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.