"Generalizable Reinforcement Learning-Based Coarsening Model for Resource ..."

Lanshun Nie et al. (2023)

> Home

Details and statistics

DOI: 10.1109/IPDPS54959.2023.00051

access: closed

type: Conference or Workshop Paper

metadata version: 2023-08-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ipps/NieQMYL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ipps/NieQMYL23
Lanshun Nie, Yuqi Qiu, Fei Meng, Mo Yu, Jing Li:
Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs. IPDPS 2023: 435-445

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.