"Advances of Pipeline Model Parallelism for Deep Learning Training: An ..."

Lei Guan et al. (2024)

> Home

Details and statistics

DOI: 10.1007/S11390-024-3872-3

access: closed

type: Journal Article

metadata version: 2024-11-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcst/GuanLLWGL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcst/GuanLLWGL24
Lei Guan, Dong-Sheng Li, Jiye Liang, Wen-Jian Wang, Ke-shi Ge, Xicheng Lu:
Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview. J. Comput. Sci. Technol. 39(3): 567-584 (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.