The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …

Approximate multipliers attract a large interest in the scientific literature that proposes
several circuits built with approximate 4-2 compressors. Due to the large number of …

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 …

Approximate computing, frequently used in error tolerant applications, aims to achieve
higher circuit performances by allowing the possibility of inaccurate results, rather than …

Recursive multipliers (RMs) have been classified as a class of low-power multipliers
because they provide a wide-range of power-quality configuration options. 2× 2 multipliers …

In this paper, we propose a methodology for designing low error efficient approximate
adders for FPGAs. The proposed methodology utilizes FPGA resources efficiently to reduce …

Printed electronics (PEs) promises on-demand fabrication, low nonrecurring engineering
costs, and subcent fabrication costs. It also allows for high customization that would be …

Approximate computing is an emerging circuit design technique which reduce the energy
consumption with acceptable degradation in accuracy. Three approximate radix-8 Booth …

Abstract Convolutional Neural Networks (CNNs) exhibit significant performance
enhancements in several machine learning tasks such as surveillance, intelligent …

To explore the benefits of approximate computing, this article proposes an approximate
partial product generator for squarer (APPGS). Using APPGS, three designs of approximate …