default search action

combined dblp search
author search
venue search
publication search

ask others

"Occam: Optimal Data Reuse for Convolutional Neural Networks."

Ashish Gondimalla et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3566052

access: open

type: Journal Article

metadata version: 2023-03-11

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/taco/GondimallaLTV23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/taco/GondimallaLTV23
Ashish Gondimalla, Jianqiao Liu, Mithuna Thottethodi, T. N. Vijaykumar:
Occam: Optimal Data Reuse for Convolutional Neural Networks. ACM Trans. Archit. Code Optim. 20(1): 12:1-12:25 (2023)

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.