S Su, C Zou, W Kong, J Han… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recently, much attention has been paid to approximate computing, a novel design paradigm for error-tolerant applications. It can significantly reduce area, power, and delay of circuits by …
In this study, we perform logic synthesis and area optimization of approximate ripple-carry adders and Wallace-tree multipliers with a given error constraint. We first implement …
Approximate computing is an attractive paradigm for reducing the design complexity of error- resilient systems, therefore, improving performance and saving power consumption. In this …
Y Yao, S Huang, C Wang, Y Wu… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Approximate computing is an emerging design paradigm targeting at error-tolerant applications. The area, delay, and power consumption of a circuit can be improved by …
Approximate computing represents a modern design paradigm that allows systems to have imprecise or inexact execution, aiming to optimize circuit area, performance, and power …
Y Wang, L Wang - 2019 IEEE 13th International Conference on …, 2019 - ieeexplore.ieee.org
A power optimization algorithm based on approximate computing technique was proposed for FPRM logic circuits. The algorithm includes FPRM logic circuits dynamic power …
B Zhao, L Qiu, Y Lao - … on Computer-Aided Design of Integrated …, 2023 - ieeexplore.ieee.org
The ever-growing data scale and computation complexity raise tremendous concerns about computer systems' efficiency (ie, lower hardware overhead and power consumption) …
Approximate computing exploits perceptual inaccuracies of the human senses, error- resilient applications, and noisy input data to produce more power-efficient architectures …
Approximate computing exploits perceptual inaccuracies of the human senses, error- resilient applications, and noisy input data to produce more power-efficient architectures …