Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2020.3032495
Abstract: Libraries of approximate circuits are composed of fully characterized digital circuits that can be used as building blocks of energy-efficient implementations of hardware accelerators. They can be employed not only to speed up the accelerator… read more here.
Keywords: approximate multipliers; application; automated design; approximate circuits ... See more keywords
Approximate Multipliers Using Static Segmentation: Error Analysis and Improvements
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3152921
Abstract: 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 using static segmentation. In these circuits a set of $m$ contiguous… read more here.
Keywords: error; inline formula; approximate multipliers; tex math ... See more keywords
Two Efficient Approximate Unsigned Multipliers by Developing New Configuration for Approximate 4:2 Compressors
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2023.3242558
Abstract: Approximate computing is a promising approach for reducing power consumption and design complexity in applications that accuracy is not a crucial factor. Approximate multipliers are commonly used in error-tolerant applications. This paper presents three approximate… read more here.
Keywords: compressors two; approximate multipliers; approximate compressors; power ... See more keywords
Energy- and Quality-Efficient Approximate Multipliers for Neural Network and Image Processing Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2021.3072666
Abstract: Approximate computing is a new trend that trades off computational accuracy for lower energy dissipation and design complexity in various applications, where high precision is not a critical need. In this paper, energy- and quality-… read more here.
Keywords: multipliers neural; neural network; approximate multipliers; energy ... See more keywords