"Distilling Bit-level Sparsity Parallelism for General Purpose Deep ..."

Hang Lu et al. (2021)

> Home

Details and statistics

DOI: 10.1145/3466752.3480123

access: closed

type: Conference or Workshop Paper

metadata version: 2023-12-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/micro/LuCLZLLZ21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/micro/LuCLZLLZ21
Hang Lu, Liang Chang, Chenglong Li, Zixuan Zhu, Shengjian Lu, Yanhuan Liu, Mingzhe Zhang:
Distilling Bit-level Sparsity Parallelism for General Purpose Deep Learning Acceleration. MICRO 2021: 963-976

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.