This paper presents a delay- and energy-efficient approximate adder design exploiting an effective carry speculation scheme with error reduction. The proposed scheme reduces the delay and improves the energy efficiency without any significant accuracy degradation by effectively adding the predicted carry input using the OR operation. Additionally, the error reduction technique improves the overall computation accuracy at the expense of a few logic gates. As a result, the proposed adder achieves 3.84- and 7.79-times greater energy and energy-delay product (EDP) efficiencies than the traditional adder when implemented in 65-nm CMOS technology. In particular, when jointly analyzed with hardware accuracy, our design attains 69% and 70% reductio...
Asynchronous quasi-delay-insensitive (QDI) implementation of approximate addition is described in th...
In the last decade, the need for efficiency in computing has motivated the coming forth of new devic...
In this brief we propose a framework that enables us to analyse energy and error for mobile applicat...
This paper proposes a novel approximate adder that exploits an error-reduced carry prediction and co...
With the continuous development of integrated circuit manufacturing processes, the issue of power co...
Approximate computing circuits are considered as a promising solution to reduce the power consumptio...
Abstract—Power dissipation has become a significant concern for integrated circuit design in nanomet...
Abstract: A computing device designed to carry out a variety of arithmetic computations. The adder c...
Approximate circuit design is a promising approach to improve performances and energy efficiency bey...
As key building blocks for digital signal processing, image processing and deep learning etc, adders...
The carry look-ahead adder (CLA) is well known among the family of high-speed adders. However, a con...
Multimedia and image processing applications, may tolerate errors in calculations but still generate...
Approximate Arithmetic is a new design paradigm that is being used in many applications which are to...
Approximate computing is an emerging paradigm to improve power and performance efficiency for error-...
Arithmetic logic units and digital signal processors widely uses adders. It is the most complicated ...
Asynchronous quasi-delay-insensitive (QDI) implementation of approximate addition is described in th...
In the last decade, the need for efficiency in computing has motivated the coming forth of new devic...
In this brief we propose a framework that enables us to analyse energy and error for mobile applicat...
This paper proposes a novel approximate adder that exploits an error-reduced carry prediction and co...
With the continuous development of integrated circuit manufacturing processes, the issue of power co...
Approximate computing circuits are considered as a promising solution to reduce the power consumptio...
Abstract—Power dissipation has become a significant concern for integrated circuit design in nanomet...
Abstract: A computing device designed to carry out a variety of arithmetic computations. The adder c...
Approximate circuit design is a promising approach to improve performances and energy efficiency bey...
As key building blocks for digital signal processing, image processing and deep learning etc, adders...
The carry look-ahead adder (CLA) is well known among the family of high-speed adders. However, a con...
Multimedia and image processing applications, may tolerate errors in calculations but still generate...
Approximate Arithmetic is a new design paradigm that is being used in many applications which are to...
Approximate computing is an emerging paradigm to improve power and performance efficiency for error-...
Arithmetic logic units and digital signal processors widely uses adders. It is the most complicated ...
Asynchronous quasi-delay-insensitive (QDI) implementation of approximate addition is described in th...
In the last decade, the need for efficiency in computing has motivated the coming forth of new devic...
In this brief we propose a framework that enables us to analyse energy and error for mobile applicat...