High-Level Power Estimation Techniques in Embedded Systems Hardware: an Overview - Archive ouverte HAL
Article Dans Une Revue Journal of Supercomputing Année : 2023

High-Level Power Estimation Techniques in Embedded Systems Hardware: an Overview

Résumé

Power optimization has become a major concern for most digital hardware designers, particularly in early design phases and especially in limited power budget systems (battery-operated hand-held devices, electro-optical pluggable modules, IoT and green energy systems, etc.). Subsequently, early power consumption estimation at design time is crucial for power optimization. The aim of this paper is to present an overview of high-level power estimation techniques currently available along with a comprehensive comparison between different methodologies and their applications on estimated models. When high speed and high performance are key features of a specific embedded system, increase in energy consumption becomes the main hurdle to be tackled while keeping speed/performance v/s power consumption trade-off at a minimum. This paper provides designers, interested in power consumption modeling, with knowledge on how to select best power estimation techniques applied to designated target models.
Fichier principal
Vignette du fichier
Richa et al - 2022- High-level power estimation techniques_mricha_springer_supe_pre-editing.pdf (341 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03770344 , version 1 (14-02-2023)

Licence

Identifiants

Citer

Majdi Richa, Jean-Christophe Prévotet, Mickaël Dardaillon, Mohamad Mroué, Abed Ellatif Samhat. High-Level Power Estimation Techniques in Embedded Systems Hardware: an Overview. Journal of Supercomputing, 2023, 79, pp.3771-3790. ⟨10.1007/s11227-022-04798-5⟩. ⟨hal-03770344⟩
105 Consultations
418 Téléchargements

Altmetric

Partager

More