Exploiting errors for efficiency: A survey from circuits to applications

P Stanley-Marbell, A Alaghi, M Carbin… - ACM Computing …, 2020 - dl.acm.org
When a computational task tolerates a relaxation of its specification or when an algorithm
tolerates the effects of noise in its execution, hardware, system software, and programming …

IoT technologies for embedded computing: A survey

F Samie, L Bauer, J Henkel - Proceedings of the Eleventh IEEE/ACM …, 2016 - dl.acm.org
Emergence of Internet-of-Things brings a whole new class of applications and higher
efficiency for existing services. Application-specific requirements, as well as connectivity and …

Microprocessor optimizations for the internet of things: A survey

T Adegbija, A Rogacs, C Patel… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) refers to a pervasive presence of interconnected and uniquely
identifiable physical devices. These devices' goal is to gather data and drive actions in order …

Ultra-low power and dependability for IoT devices (Invited paper for IoT technologies)

J Henkel, S Pagani, H Amrouch… - Design, Automation & …, 2017 - ieeexplore.ieee.org
Recent advances in technologies have allowed the design of small-size low-power and low-
cost devices that can be connected to the Internet, enabling the emerging paradigm of …

Low-cost wearable multichannel surface EMG acquisition for prosthetic hand control

D Brunelli, AM Tadesse, B Vodermayer… - … on advances in …, 2015 - ieeexplore.ieee.org
Prosthetic hand control based on the acquisition and processing of surface
electromyography signals (sEMG) is a well-established method that makes use of the …

E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices

F Ponzina, M Peon-Quiros, A Burg… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To reduce energy consumption, it is possible to operate embedded systems at sub-nominal
conditions (eg, reduced voltage, limited eDRAM refresh rate) that can introduce bit errors in …

Right-provisioned IoT edge computing: An overview

T Adegbija, R Lysecky, VV Kumar - … of the 2019 Great Lakes Symposium …, 2019 - dl.acm.org
Edge computing on the Internet of Things (IoT) is an increasingly popular paradigm in which
computation is moved closer to the data source (ie, edge devices). Edge computing …

Energy-aware bio-signal compressed sensing reconstruction on the WBSN-gateway

D Bortolotti, M Mangia, A Bartolini… - … on Emerging Topics …, 2016 - ieeexplore.ieee.org
Technology scaling enables today the design of ultra-low power wearable bio-sensors for
continuous vital signs monitoring or wellness applications. Such bio-sensing nodes are …

Impact of memory voltage scaling on accuracy and resilience of deep learning based edge devices

BW Denkinger, F Ponzina, SS Basu… - IEEE Design & …, 2019 - ieeexplore.ieee.org
As more and more artificial intelligence capabilities are deployed onto resource-constrained
devices, designers explore several techniques in an effort to boost energy efficiency. Two …

An approximate compressor for wearable biomedical healthcare monitoring systems

F Samie, L Bauer, J Henkel - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Technology advancements as well as the Internet-of-Things paradigm enable the design of
wearable personal healthcare monitoring systems. Ultra-low-power design is a challenging …