"BiNPU: A 33.0 MOP/s/LUT Binary Neural Network Inference Processor Showing ..."

Gil-Ho Kwak, Tae-Hwan Kim (2024)

> Home

Details and statistics

DOI: 10.1109/TCSII.2024.3440965

access: closed

type: Journal Article

metadata version: 2024-11-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tcasII/KwakK24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tcasII/KwakK24
Gil-Ho Kwak, Tae-Hwan Kim:
BiNPU: A 33.0 MOP/s/LUT Binary Neural Network Inference Processor Showing 88.26% CIFAR10 Accuracy With 1.9 Mbit On-Chip Parameters in a 28-nm FPGA. IEEE Trans. Circuits Syst. II Express Briefs 71(11): 4673-4677 (2024)

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.