Run-time Energy-Efficiency Optimization for AI and HPC Workloads
Effective power management is crucial for balancing high performance and environmental impact in the exascale era, particularly for datacenters dominated by massively parallel GPU systems due to the rise of AI.
Authors
- Gilles Sassatelli (ORCID: https://orcid.org/0000-0002-6396-286X)
- Gabriel Hautreux (ORCID: https://orcid.org/0009-0000-9127-336X)
- Abdoulaye Gamatié (ORCID: https://orcid.org/0000-0002-8326-3257)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université de Montpellier (FR)
- Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)
Publication Details
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1145/3731599.3767560
- Citations
- 1
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.27