SamurAI: a 1.7MOPS-36GOPS Adaptive Versatile IoT Node with 15,000x Peak-to-Idle Power Reduction, 207ns Wake-up Time and 1.3TOPS/W ML Efficiency - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

SamurAI: a 1.7MOPS-36GOPS Adaptive Versatile IoT Node with 15,000x Peak-to-Idle Power Reduction, 207ns Wake-up Time and 1.3TOPS/W ML Efficiency

Résumé

IoT node application requirements are torn between sporadic data-logging and energy-hungry data processing (e.g. image classification). This paper presents a versatile IoT node covering this gap in processing and energy by leveraging two on-chip sub-systems: a low power, clock-less, event-driven Always-Responsive (AR) part and an energy-efficient On-Demand (OD) part. The AR contains a 1.7MOPS event-driven, asynchronous Wake-up Controller (WuC) with 207ns wake-up time optimized for short sporadic computing. OD combines a deep-sleep RISC-V CPU and 1.3TOPS/W Machine Learning (ML) and crypto accelerators for more complex tasks. The node can perform up to 36GOPS while achieving 15,000x reduction from peak-to-idle power consumption. The interest of this versatile architecture is demonstrated with 105μW daily average power on an applicative classification scenario
Fichier principal
Vignette du fichier
SamurAI - VLSI paper.pdf (464.39 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03022034 , version 1 (24-11-2020)

Identifiants

Citer

Ivan Miro-Panades, Benoit Tain, Jean-Frédéric Christmann, David Coriat, Romain Lemaire, et al.. SamurAI: a 1.7MOPS-36GOPS Adaptive Versatile IoT Node with 15,000x Peak-to-Idle Power Reduction, 207ns Wake-up Time and 1.3TOPS/W ML Efficiency. 2020 IEEE Symposium on VLSI Circuits, Jun 2020, Honolulu, United States. ⟨10.1109/VLSICircuits18222.2020.9163000⟩. ⟨hal-03022034⟩
87 Consultations
226 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More