Slow and steady wins the race? A comparison of ultra-low-power RISC-V cores for Internet-of-Things applications

PD Schiavone, F Conti, D Rossi… - … on Power and …, 2017 - ieeexplore.ieee.org
Achieving a power envelope of few milliwatts combined with tight performance constraints is
emerging as one of the key challenges for battery-powered and low cost Internet-of-things …

Mr. Wolf: An energy-precision scalable parallel ultra low power SoC for IoT edge processing

A Pullini, D Rossi, I Loi, G Tagliavini… - IEEE Journal of Solid …, 2019 - ieeexplore.ieee.org
This paper presents Mr. Wolf, a parallel ultra-low power (PULP) system on chip (SoC)
featuring a hierarchical architecture with a small (12 kgates) microcontroller (MCU) class …

Powering the internet of things

H Jayakumar, K Lee, WS Lee, A Raha, Y Kim… - Proceedings of the …, 2014 - dl.acm.org
Various industry forecasts project that, by 2020, there will be around 50 billion devices
connected to the Internet of Things (IoT), helping to engineer new solutions to societal-scale …

Variability mitigation in nanometer CMOS integrated systems: A survey of techniques from circuits to software

A Rahimi, L Benini, RK Gupta - Proceedings of the IEEE, 2016 - ieeexplore.ieee.org
Variation in performance and power across manufactured parts and their operating
conditions is an accepted reality in modern microelectronic manufacturing processes with …

An IoT endpoint system-on-chip for secure and energy-efficient near-sensor analytics

F Conti, R Schilling, PD Schiavone… - … on Circuits and …, 2017 - ieeexplore.ieee.org
Near-sensor data analytics is a promising direction for internet-of-things endpoints, as it
minimizes energy spent on communication and reduces network load-but it also poses …

Arnold: An eFPGA-augmented RISC-V SoC for flexible and low-power IoT end nodes

PD Schiavone, D Rossi, A Di Mauro… - … Transactions on Very …, 2021 - ieeexplore.ieee.org
A wide range of Internet of Things (IoT) applications require powerful, energy-efficient, and
flexible end nodes to acquire data from multiple sources, process and distill the sensed data …

PULP: A ultra-low power parallel accelerator for energy-efficient and flexible embedded vision

F Conti, D Rossi, A Pullini, I Loi, L Benini - Journal of Signal Processing …, 2016 - Springer
Novel pervasive devices such as smart surveillance cameras and autonomous micro-UAVs
could greatly benefit from the availability of a computing device supporting embedded …

A subthreshold ARM cortex-M0+ subsystem in 65 nm CMOS for WSN applications with 14 power domains, 10T SRAM, and integrated voltage regulator

J Myers, A Savanth, R Gaddh, D Howard… - IEEE Journal of Solid …, 2015 - ieeexplore.ieee.org
The Internet of Things (IoT) is widely predicted to comprise billions of connected devices,
many of which will be wireless sensor nodes (WSN). Energy efficiency is a huge challenge …

Energy-efficient hybrid analog/digital approximate computation in continuous time

N Guo, Y Huang, T Mai, S Patil, C Cao… - IEEE Journal of Solid …, 2016 - ieeexplore.ieee.org
We present a unit that performs continuous-time hybrid approximate computation, in which
both analog and digital signals are functions of continuous time. Our 65 nm CMOS prototype …

An efficient switched-capacitor DC-DC buck converter for self-powered wearable electronics

D Kilani, M Alhawari, B Mohammad… - … on Circuits and …, 2016 - ieeexplore.ieee.org
This paper introduces an efficient reconfigurable, multiple voltage gain switched-capacitor
dc-dc buck converter as part of a power management unit for wearable electronics. The …