A macroscopic analysis of GPU power consumption - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

A macroscopic analysis of GPU power consumption

Résumé

For the last few years, High Performance Computing (HPC) systems have become highly heterogeneous through an unyielding integration of multi-core processors (CPUs) and accelerators. Among accelerators, Graphics Processing Unit (GPUs) have emerged as ideal co-processors for high-throughput applications, due to their enormous computational power and energy efficiency. However, these GPU-based systems still consume a lot of energy. In order to provide Exaflops, these extreme-scale systems must be optimized for "performance-per-watt". Similar to any optimization process, it is first required to understand how power is dissipated into general purpose processors. In this paper, we propose a macroscopic approach for analyzing the GPU power consumption through the benchmarking of a memory bound application kernel 1. This approach offers great insights into inherent characteristics of GPU power behavior under different configurations.
Fichier principal
Vignette du fichier
COMPAS2019_Boughzala_Lefevre_Orgerie.pdf (103.28 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04091328 , version 1 (08-05-2023)

Identifiants

  • HAL Id : hal-04091328 , version 1

Citer

Laurent Lefèvre, Anne-Cécile Orgerie, Dorra Boughzala. A macroscopic analysis of GPU power consumption. COMPAS2019 : Conférence d'informatique en Parallélisme, Architecture et Système, Jun 2019, Anglet, France. ⟨hal-04091328⟩
20 Consultations
433 Téléchargements

Partager

Gmail Facebook X LinkedIn More