"JEM: An AI-based engine workflow to predict simulation's execution ..."

Bartolomeo Vacchetti et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ICCAD60883.2024.10553971

access: closed

type: Conference or Workshop Paper

metadata version: 2024-06-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iccad2/VacchettiCNCCT24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccad2/VacchettiCNCCT24
Bartolomeo Vacchetti, Tania Cerquitelli, Vladi Massimo Nosenzo, Enrica Capitelli, Luca Chiosso, Manilo Trocano:
JEM: An AI-based engine workflow to predict simulation's execution time on HPC cluster. ICCAD 2024: 1-5

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.