For a variety of different applications, including processing of image, expert systems, the smart things, and processing of digital systems, low-power and high-speed electronic system are now required. In a general multiplying operation account for most of the data processing time. The potential solution for hardware that operates quickly and efficiently is approximate multiplier. The approximate multiplier has developed into a key arithmetic element for many applications over the past ten years. So, Identifying a suitable multiplier which makes the trade-off between power and efficiency is important. In this Paper, We compared different Approximate Multipliers and find the suitable one
Abstract—Inexact (or approximate) computing is an attractive paradigm for digital processing at nano...
Multiplication is a frequently utilized mathematical operation in numerous applications, including s...
We propose a high-speed, energy-efficient approximation multiplier. The method is to round the coeff...
Computation accuracy can be adequately tuned on the specific application requirements in order to re...
Approximate computing is an emerging trend in digital design that trades off the requirement of exac...
CMOS scaling has reached to the level, where process variation has become significant problem hinder...
Abstract — Approximate computing is best suited for error resilient applications, such as signal pro...
Approximate computing is an attractive technique to gain substantial improvement in the area, speed,...
Approximate computing forms a promising design alternative for inherently error resilient applicatio...
Power consumption is an important constraint in multimedia and deep learning applications. Approxima...
Abstract — Approximate circuit design is an innovative paradigm for error-resilient image and signal...
Approximate computing, frequently used in error tolerant applications, aims to achieve higher circui...
Multimedia and image processing applications, may tolerate errors in calculations but still generate...
In this paper we propose an energy-efficient approximate multiplier which uses a new approximate 4-2...
Approximate computing circuits are considered as a promising solution to reduce the power consumptio...
Abstract—Inexact (or approximate) computing is an attractive paradigm for digital processing at nano...
Multiplication is a frequently utilized mathematical operation in numerous applications, including s...
We propose a high-speed, energy-efficient approximation multiplier. The method is to round the coeff...
Computation accuracy can be adequately tuned on the specific application requirements in order to re...
Approximate computing is an emerging trend in digital design that trades off the requirement of exac...
CMOS scaling has reached to the level, where process variation has become significant problem hinder...
Abstract — Approximate computing is best suited for error resilient applications, such as signal pro...
Approximate computing is an attractive technique to gain substantial improvement in the area, speed,...
Approximate computing forms a promising design alternative for inherently error resilient applicatio...
Power consumption is an important constraint in multimedia and deep learning applications. Approxima...
Abstract — Approximate circuit design is an innovative paradigm for error-resilient image and signal...
Approximate computing, frequently used in error tolerant applications, aims to achieve higher circui...
Multimedia and image processing applications, may tolerate errors in calculations but still generate...
In this paper we propose an energy-efficient approximate multiplier which uses a new approximate 4-2...
Approximate computing circuits are considered as a promising solution to reduce the power consumptio...
Abstract—Inexact (or approximate) computing is an attractive paradigm for digital processing at nano...
Multiplication is a frequently utilized mathematical operation in numerous applications, including s...
We propose a high-speed, energy-efficient approximation multiplier. The method is to round the coeff...