"HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU ..."

Jay H. Park et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-07-16

- view
  - electronic edition @ usenix.org (open access)
- export record
  dblp key:
  - conf/usenix/ParkYYNLCNC20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/usenix/ParkYYNLCNC20
Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh, Young-ri Choi:
HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism. USENIX ATC 2020: 307-321

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.