{"title":"用Vedic算法计算乘法器和加法器电路的VLSI实现","authors":"Aditi Awasthy","doi":"10.1109/ICEEICT53079.2022.9768534","DOIUrl":null,"url":null,"abstract":"This work aims to build a Vedic Multiplier using the Indian Vedic Mathematics technique as the best alternative for multiplying algorithm. The performance of a high-speed CPU is heavily dependent on a component known as a multiplier. In this project, we will use the Vedic mathematics algorithm with detector and compressor circuits to overcome these major challenges of delay and complexity. We will focus on minimizing the processing delay of the digital circuit thereby increasing the speed. Also, reducing the switching activities, that will reduce the power consumption. The algorithm that we will use is ‘Urdhva-Tiryagbhyam Sutra’. Simulation will be done using Xilinx ISE platform with Verilog language. Finally, the goal of this study is to design an effective Vedic Multiplier employing the Urdhva-Tiryabhyam algorithm, followed by a comparison of the proposed and conventional multipliers based on area, propagation delay, and power, with improved performance factors.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"VLSI Implementation of Multiplier and Adder Circuits with Vedic Algorithm Computation\",\"authors\":\"Aditi Awasthy\",\"doi\":\"10.1109/ICEEICT53079.2022.9768534\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims to build a Vedic Multiplier using the Indian Vedic Mathematics technique as the best alternative for multiplying algorithm. The performance of a high-speed CPU is heavily dependent on a component known as a multiplier. In this project, we will use the Vedic mathematics algorithm with detector and compressor circuits to overcome these major challenges of delay and complexity. We will focus on minimizing the processing delay of the digital circuit thereby increasing the speed. Also, reducing the switching activities, that will reduce the power consumption. The algorithm that we will use is ‘Urdhva-Tiryagbhyam Sutra’. Simulation will be done using Xilinx ISE platform with Verilog language. Finally, the goal of this study is to design an effective Vedic Multiplier employing the Urdhva-Tiryabhyam algorithm, followed by a comparison of the proposed and conventional multipliers based on area, propagation delay, and power, with improved performance factors.\",\"PeriodicalId\":201910,\"journal\":{\"name\":\"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEICT53079.2022.9768534\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEICT53079.2022.9768534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

这项工作的目的是建立一个吠陀乘数使用印度吠陀数学技术作为乘法算法的最佳选择。高速CPU的性能在很大程度上依赖于称为乘法器的组件。在这个项目中,我们将使用带有检测器和压缩电路的吠陀数学算法来克服这些延迟和复杂性的主要挑战。我们将专注于最小化数字电路的处理延迟,从而提高速度。同时,减少开关活动,这将降低功耗。我们将使用的算法是《乌德瓦-天竺经》。仿真将使用赛灵思ISE平台和Verilog语言完成。最后,本研究的目标是采用Urdhva-Tiryabhyam算法设计一个有效的吠陀乘法器,然后根据面积、传播延迟和功率对所提出的乘法器和传统乘法器进行比较,并改进性能因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
VLSI Implementation of Multiplier and Adder Circuits with Vedic Algorithm Computation
This work aims to build a Vedic Multiplier using the Indian Vedic Mathematics technique as the best alternative for multiplying algorithm. The performance of a high-speed CPU is heavily dependent on a component known as a multiplier. In this project, we will use the Vedic mathematics algorithm with detector and compressor circuits to overcome these major challenges of delay and complexity. We will focus on minimizing the processing delay of the digital circuit thereby increasing the speed. Also, reducing the switching activities, that will reduce the power consumption. The algorithm that we will use is ‘Urdhva-Tiryagbhyam Sutra’. Simulation will be done using Xilinx ISE platform with Verilog language. Finally, the goal of this study is to design an effective Vedic Multiplier employing the Urdhva-Tiryabhyam algorithm, followed by a comparison of the proposed and conventional multipliers based on area, propagation delay, and power, with improved performance factors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Packet Transmission using Radio Access Protocol for Intra-Cluster Communications in Mobile Ad hoc Networks Performance of Combined RF and non-RF based Energy Harvesting scheme for Multi-Relay Cooperative Cognitive Radio Network Image Recognition, Classification and Analysis Using Convolutional Neural Networks An Optimized technique for a Sapid Motor pooling Tariff Forecasting System Pneumothorax Segmentation from Chest X-Rays Using U-Net/U-Net++ Architectures
×
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