How data impacts coupled GPUs temperature prediction : a preliminary study based on synthetic data

This paper evaluates the impact of dataset characteristics on the accuracy of temperature prediction models for coupled GPUs in Data Center (DC). Using synthetic data generated via ODEs, we compare eight data generation methods and demonstrate the data content influence prediction accuracy.

Authors

Christophe Josset (ORCID: https://orcid.org/0000-0001-5977-0454)
Y. Favennec
Benoît Parrein (ORCID: https://orcid.org/0000-0002-0061-8404)
Julien Beurrier

Institutions

Centre National de la Recherche Scientifique (FR)
Institut de Recherche en Informatique et Systèmes Aléatoires (FR)
Laboratoire de Thermique et Energie de Nantes (FR)

Publication Details

Published: 2025-12-01
DOI: https://doi.org/10.1145/3773274.3774665
Primary Topic: Cloud Computing and Resource Management
Type: article
Field-Weighted Citation Impact: 0.00

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article

How data impacts coupled GPUs temperature prediction : a preliminary study based on synthetic data

Christophe Josset, Y. Favennec, Benoît Parrein, Julien Beurrier

Dec 1, 2025

Cloud Computing and Resource Management

article

How data impacts coupled GPUs temperature prediction : a preliminary study based on synthetic data

Christophe Josset, Y. Favennec, Benoît Parrein, Julien Beurrier

December 1, 2025article en

Abstract

This paper evaluates the impact of dataset characteristics on the accuracy of temperature prediction models for coupled GPUs in Data Center (DC). Using synthetic data generated via ODEs, we compare eight data generation methods and demonstrate the data content influence prediction accuracy.

Centre National de la Recherche Scientifique (FR), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), Laboratoire de Thermique et Energie de Nantes (FR)

Affordable and clean energy

Openalex Percentile: Top 22%

Cloud Computing and Resource Management

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