Artifact for : Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings

Jacquet, Pierre; Agusti, Maxime; Caron, Eddy; Coti, Camille; Marcos, Dias de Assuncao; Lefevre, Laurent; Orgerie, Anne-Cécile

doi:10.5281/zenodo.17083892

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Published 2025 | Version v2

Computational notebook Open

Artifact for : Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings

1. École de Technologie Supérieure
2. National Institute for Research in Computer and Control Sciences
3. École Normale Supérieure de Lyon
4. Institut de Recherche en Informatique et Systèmes Aléatoires

This document describes the artifact submitted for the research paper "Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings," accepted at the EuroSys 2026 conference

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Repository URL: https://github.com/maxime-agusti/untangling-gpu-power
Programming language: Python

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Computational notebook

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Zenodo

Conference

EuroSys 2026

License: BSD 3-Clause License

Copyright (c) 2025, ETS Montreal, Inria All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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Created: September 9, 2025
Modified: September 9, 2025

Artifact for : Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings

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