"HPC-oriented Canonical Workflows for Machine Learning Applications in ..."

Amirpasha Mozaffari et al. (2022)

> Home

Details and statistics

DOI: 10.1162/DINT_A_00131

access: open

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/dint/MozaffariLGACNE22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/dint/MozaffariLGACNE22
Amirpasha Mozaffari, Michael Langguth, Bing Gong, Jessica Ahring, Adrian Rojas Campos, Pascal Nieters, Otoniel José Campos Escobar, Martin Wittenbrink, Peter Baumann, Martin G. Schultz:
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction. Data Intell. 4(2): 271-285 (2022)

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.