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Published August 30, 2024 | Version v3
Dataset Open

Artifact of the paper: Light-weight prediction for improving energy consumption in HPC platforms

  • 1. ROR icon Université Toulouse III - Paul Sabatier
  • 2. ROR icon Institut de Recherche en Informatique de Toulouse
  • 3. ROR icon Université Grenoble Alpes
  • 4. ROR icon Laboratoire d'Informatique de Grenoble
  • 5. ROR icon Université Toulouse - Jean Jaurès

Description

Please refer to the artifact-overview.pdf file in this dataset for instructions to reproduce the experiments we have conducted for this article, or for more context about the article.

Files

22-agg_power_total.csv

Files (1.9 GB)

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md5:604aa2493d688a77a7f771ad1dc91621
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md5:9a0a5a883862889ea29ebe866038aacf
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md5:9829bb1ebb9ca5811676db3c56b6458c
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1.3 MB Preview Download
md5:e00304f9f2fd1819b72ca8b6b802db9c
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md5:e1b4475f55938ad6de4ca500bddc7908
4.1 kB Preview Download
md5:dffeb22c1dc21cde6bbc31a66f901565
741.9 MB Download

Additional details

Software

Repository URL
https://framagit.org/batsim/artifact-europar24-lightweight-power-pred-sched
Programming language
Python, R, Nix, Typst
Development Status
Inactive