Multiplication is one of the essential functions in all digital systems. The evaluation of digital
system, have brought out new challenges in VLSI (Very Large Scale Integration) designing …

Given the stringent requirements of energy efficiency for Internet-of-Things edge devices,
approximate multipliers, as a basic component of many processors and accelerators, have …

Due to the ability to implement customized topology, FPGA is increasingly used to deploy
SNNs in both embedded and high-performance applications. In this paper, we survey state …

In limited-resource edge computing circumstances such as on mobile devices, IoT devices,
and electric vehicles, the energy-efficient optimized convolutional neural network (CNN) …

Approximate arithmetic operators, such as adders and multipliers, are increasingly used to
satisfy the energy and performance requirements of resource-constrained embedded …

In applications such as image processing and machine learning, imprecision can be
tolerated because of the nature of the application itself or the limitation of human senses. By …

Approximate computing is an emerging technique that can be used for developing power,
area and delay efficient circuits at the cost of loss of accuracy. This paper investigates the …

Approximate computing (AC) has become a prominent solution to improve the performance,
area, and power/energy efficiency of a digital design at the cost of output accuracy. We …

This article addresses the growing need in resource-constrained edge computing scenarios
for energy-efficient convolutional neural network (CNN) accelerators on mobile Field …

The rapid updates in error-resilient applications along with their quest for high throughput
has motivated designing fast approximate functional units for field-programmable gate …