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 …

A scalable approximate multiplier, called truncation-and rounding-based scalable
approximate multiplier (TOSAM) is presented, which reduces the number of partial products …

Approximate multipliers are used in error-tolerant applications, sacrificing the accuracy of
results to minimize power or delay. In this paper we investigate approximate multipliers …

Several challenges in improving the performance of computing systems have given rise to
emerging computing paradigms. One of these paradigms is approximate computing. Many …

In imprecision-tolerant applications such as multimedia and signal processing a slightly
degraded output quality is acceptable, which could lead to significant power reduction. We …

This paper presents the Weight-aware Approximate Multiplication Architecture (W-AMA) for
Deep Neural Networks (DNNs). Considering the Gaussian-like weight distribution, it deploys …

In present scenario, significant data manipulations can be espied in image processing and
Convolutional Neural Networks (CNNs) applications. The quality performance of these …

Several applications such as signal processing, multimedia and big data analysis exhibit
computational error tolerance. This tolerance can be exploited to achieve efficient designs …

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 …

Approximate computing recently arises due to its success in many error-tolerant applications
such as multimedia applications. Various approximation methods have demonstrated the …