Enhancing efficiency through control theory

HALITIM, Kouds

dc.contributor.author	HALITIM, Kouds
dc.contributor.other	Stihi,Omar, Directeur de thèse
dc.contributor.other	Cerf Sophie, Directeur de thèse
dc.date.accessioned	2023-10-30T08:45:47Z
dc.date.available	2023-10-30T08:45:47Z
dc.date.issued	2023
dc.identifier.other	EP00698
dc.identifier.uri	http://repository.enp.edu.dz/jspui/handle/123456789/10944
dc.description	Mémoire de Projet de Fin d’Études : Automatique: Alger, École Nationale Polytechnique : 2023	fr_FR
dc.description.abstract	This study employs control theory to optimize power regulation in large HPC systems. It dynamically adjusts processor power caps based on real-time application progress to enhance energy efficiency while maintaining computational performance. The approach incorporates cascaded control strategies, such as PI control and MPC, integrated into the Argo Node Resource Manager framework. Effectiveness is assessed across Grid’5000 clusters using standard HPC benchmark and Intel’s RAPL mechanism. The research aims to enhance energy efficiency in high-performance computing while meeting computational demands.	fr_FR
dc.language.iso	en	fr_FR
dc.subject	HPC	fr_FR
dc.subject	Energy consumption	fr_FR
dc.subject	RAPL	fr_FR
dc.subject	System Identification	fr_FR
dc.subject	PI	fr_FR
dc.subject	MPC	fr_FR
dc.title	Enhancing efficiency through control theory	fr_FR
dc.type	Thesis	fr_FR