Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings
Pierre Jacquet, Maxime Agusti, Eddy Caron, Camille Coti, Marcos Dias de Assunção, Laurent Lefèvre, Anne-Cécile Orgerie
2026年份
2被引次数
1顶会引用
摘要
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
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- AccelWattch: A Power Modeling Framework for Modern GPUsVijay Kandiah, Scott Peverelle, Mahmoud Khairy, Junrui Pan 等MICRO 2021 · 被引用 134 次
- Accurate and Convenient Energy Measurements for GPUs: A Detailed Study of NVIDIA GPU's Built-In Power SensorZeyu Yang, Karel Adámek, Wesley ArmourSC 2024 · 被引用 38 次
- Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance AssuranceYijia Zhang, Qiang Wang, Zhe Lin, Pengxiang Xu 等EuroSys 2024 · 被引用 18 次
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