On the Commutative Operation of Approximate CMOS Ripple Carry Adders (RCAs)

IF 2.1 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Nanotechnology Pub Date : 2023-12-14 DOI:10.1109/TNANO.2023.3342844
Junqi Huang;T. Nandha Kumar;Haider A. F. Almurib;Fabrizio Lombardi
{"title":"On the Commutative Operation of Approximate CMOS Ripple Carry Adders (RCAs)","authors":"Junqi Huang;T. Nandha Kumar;Haider A. F. Almurib;Fabrizio Lombardi","doi":"10.1109/TNANO.2023.3342844","DOIUrl":null,"url":null,"abstract":"Approximate cells can be used to design Ripple Carry Adders (RCAs) for realizing approximate addition in energy-efficient CMOS digital circuits. As inputs of approximate cells could be non-commutative in nature, approximate adders may show different output values under a commutative operation, and this may have a significant effect on the generated sum. This paper presents a detailed analysis of the commutative addition in RCAs made of different approximate cells. Initially, the impact of a non-commutative addition (NCA) to RCAs by approximate cells is assessed by exhaustive simulation at adder level. The results show that at most 17% of additions executed using AFA3 suffer from the non-commutative property, while the values for other adder cells can reach 75%∼99%. Then, an extensive analysis using images from a publicly available library is performed by comparing three-image additions with two-image additions. As a further evaluation, the adders are assessed in an image denoising application. As expected, the effect of NCA is especially pronounced for some non-commutative adders, such as AA2 and AMA4. NCA is also cumulative with the number of approximate additions, thereby causing a significant variation in the output image quality. In terms of metrics, the largest average difference in mean error distance (DMED) for three-image addition is 5.3 times higher than for two-image addition. Rankings of the non-commutative approximate adders show that AMA3 and AFA1 based adders are the best schemes with respect to commutative addition; they both also show good performance in image denoising.","PeriodicalId":449,"journal":{"name":"IEEE Transactions on Nanotechnology","volume":"23 ","pages":"265-273"},"PeriodicalIF":2.1000,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Nanotechnology","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10360270/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Approximate cells can be used to design Ripple Carry Adders (RCAs) for realizing approximate addition in energy-efficient CMOS digital circuits. As inputs of approximate cells could be non-commutative in nature, approximate adders may show different output values under a commutative operation, and this may have a significant effect on the generated sum. This paper presents a detailed analysis of the commutative addition in RCAs made of different approximate cells. Initially, the impact of a non-commutative addition (NCA) to RCAs by approximate cells is assessed by exhaustive simulation at adder level. The results show that at most 17% of additions executed using AFA3 suffer from the non-commutative property, while the values for other adder cells can reach 75%∼99%. Then, an extensive analysis using images from a publicly available library is performed by comparing three-image additions with two-image additions. As a further evaluation, the adders are assessed in an image denoising application. As expected, the effect of NCA is especially pronounced for some non-commutative adders, such as AA2 and AMA4. NCA is also cumulative with the number of approximate additions, thereby causing a significant variation in the output image quality. In terms of metrics, the largest average difference in mean error distance (DMED) for three-image addition is 5.3 times higher than for two-image addition. Rankings of the non-commutative approximate adders show that AMA3 and AFA1 based adders are the best schemes with respect to commutative addition; they both also show good performance in image denoising.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
关于近似 CMOS 波纹携带加法器 (RCA) 的换算操作
近似单元可用于设计纹波携带加法器(RCA),在高能效 CMOS 数字电路中实现近似加法。由于近似单元的输入可能是非交换性的,近似加法器在交换操作下可能会显示不同的输出值,这可能会对生成的和产生重大影响。本文详细分析了由不同近似单元组成的 RCA 中的换算加法。首先,通过加法器级的详尽模拟,评估了近似单元对 RCA 的非交换加法(NCA)的影响。结果表明,在使用 AFA3 执行的加法运算中,最多有 17% 存在非交换特性,而其他加法器单元的数值可达 75%∼99%。然后,通过比较三图像加法和两图像加法,使用公开库中的图像进行了广泛的分析。作为进一步的评估,在图像去噪应用中对加法器进行了评估。不出所料,对于某些非交换加法器,如 AA2 和 AMA4,NCA 的效果尤其明显。NCA 还会随着近似加法次数的增加而累积,从而导致输出图像质量的显著变化。就指标而言,三图像加法的平均误差距离(DMED)最大差值是两图像加法的 5.3 倍。对非交换型近似加法器的排名显示,基于 AMA3 和 AFA1 的加法器是交换型加法器中最好的方案;它们在图像去噪方面也都表现出色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Transactions on Nanotechnology
IEEE Transactions on Nanotechnology 工程技术-材料科学:综合
CiteScore
4.80
自引率
8.30%
发文量
74
审稿时长
8.3 months
期刊介绍: The IEEE Transactions on Nanotechnology is devoted to the publication of manuscripts of archival value in the general area of nanotechnology, which is rapidly emerging as one of the fastest growing and most promising new technological developments for the next generation and beyond.
期刊最新文献
High-Speed and Area-Efficient Serial IMPLY-Based Approximate Subtractor and Comparator for Image Processing and Neural Networks Design of a Graphene Based Terahertz Perfect Metamaterial Absorber With Multiple Sensing Performance Impact of Electron and Hole Trap Profiles in BE-TOX on Retention Characteristics of 3D NAND Flash Memory Full 3-D Monte Carlo Simulation of Coupled Electron-Phonon Transport: Self-Heating in a Nanoscale FinFET Experimental Investigations and Characterization of Surfactant Activated Mixed Metal Oxide (MMO) Nanomaterial
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1