Work

Modeling Energy Consumption in Deep Learning Architectures Using Scaling Laws

Year: 2025

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Zoubeirou a Mayaki, Mansour, Charpenay, Victor

Institutions: Mines Saint-Étienne, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

Language: English

Topic: Energy Efficiency in Computing

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6992816115

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