JEM: An AI-based engine workflow to predict simulation’s execution time on HPC cluster-Reference-Cited by-同舟云学术

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JEM: An AI-based engine workflow to predict simulation’s execution time on HPC cluster

Published:2024-05-15 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Control, Automation and Diagnosis (ICCAD)
language:
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Author:

Vacchetti Bartolomeo¹,Cerquitelli Tania¹,Nosenzo Vladi²,Capitelli Enrica²,Chiosso Luca³,Trocano Manilo³

Affiliation:

1. DAUIN Polytechnic of Turin,Turin,Italy

2. IvecoGroup,Turin,Italy

3. Doit Systems,Turin,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10553373/10553653/10553971.pdf?arnumber=10553971

Reference21 articles.

1. Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology;Bethaz

2. Drift Lens: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions

3. Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining

4. Failure Analysis and Characterization of Scheduling Jobs in Google Cluster Trace

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