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Exploiting errors for efficiency: A survey from circuits to applications
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 …
tolerates the effects of noise in its execution, hardware, system software, and programming …
IoT technologies for embedded computing: A survey
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 …
efficiency for existing services. Application-specific requirements, as well as connectivity and …
Microprocessor optimizations for the internet of things: A survey
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 …
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)
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 …
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
Prosthetic hand control based on the acquisition and processing of surface
electromyography signals (sEMG) is a well-established method that makes use of the …
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
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 …
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 …
computation is moved closer to the data source (ie, edge devices). Edge computing …
Energy-aware bio-signal compressed sensing reconstruction on the WBSN-gateway
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 …
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 …
devices, designers explore several techniques in an effort to boost energy efficiency. Two …
An approximate compressor for wearable biomedical healthcare monitoring systems
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 …
wearable personal healthcare monitoring systems. Ultra-low-power design is a challenging …