"CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers."

Alexandros Koliousis et al. (2019)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2023-05-26

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-1901-02244
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1901-02244
Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, Peter R. Pietzuch:
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers. CoRR abs/1901.02244 (2019)

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.