Current research in the area of Neural Networks (NN) has resulted in performance
advancements for a variety of complex problems. Especially, embedded system applications …

Promising for digital signal processing applications, approximate computing has been
extensively considered to tradeoff limited accuracy for improvements in other circuit metrics …

This article presents an overview of circuit-level techniques used for approximate computing
(AC), including both computation and data storage units. After providing some background …

Approximate Computing (AxC) has emerged as a promising paradigm to enhance
performance and energy efficiency by allowing a controlled trade-off between accuracy and …

Modern computing platforms expend significant amounts of time and energy in transmitting
data across on-chip and off-chip interconnects. This challenge is exacerbated in prevalent …

Editor's note: Emerging non-CMOS devices have various advantages and challenges. It is
important to undertake device-architecture codesign to harness the true benefits of beyond …

This paper presents an overview of test and reliability approaches for approximate
computing architectures. We focus on how specific methods for test and reliability can be …

Video processing performed directly on IoT nodes is one of the most performance as well as
energy demanding applications for current IoT technology. In order to support real-time high …

Transistor aging phenomena manifest themselves as degradations in the main electrical
characteristics of transistors. Over time, they result in a significant increase of cell …

Approximate computing trades off computation accuracy against energy efficiency. The
extent of approximation tolerance, however, significantly varies with a change in input …