8位吠陀乘法器的设计与分析

S. Gharge, Shrutika Patel, Aditi Patil, Nidhi Mundhada, Vaishnavi. K. Shetty
{"title":"8位吠陀乘法器的设计与分析","authors":"S. Gharge, Shrutika Patel, Aditi Patil, Nidhi Mundhada, Vaishnavi. K. Shetty","doi":"10.1109/ICNTE56631.2023.10146701","DOIUrl":null,"url":null,"abstract":"Multipliers are utilized in a wide range of DSP applications nowadays, including vector product, filtering, convolution operations, matrix multiplication, etc. The parameters which are important to consider with precision are speed of operation, chip space occupied, ease of design, power consumption, high noise immunity, and so on. In this paper comparison of the maximum combinational path latency, chip area consumption, and total on-chip power of an 8-bit Vedic multiplier using Urdhva Tiryagbhyam method, an 8-bit Wallace tree multiplier, and 8bit Array Multiplier written in Verilog has been done. For proper comparison, all multipliers are made with full adders, half adders, n-bit adders, and basic gates. Creation and the simulation of the stated multipliers using Xilinx ISE 14.7 on device 6slx9tqg144-2 and implementation of the 8-bit Vedic multiplier on EDGE Spartan 7 FPGA Board has been done to validate the same. Design of Vedic multiplier and it’s comparison with above mentioned multipliers is presented in this paper.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Analysis of 8-bit Vedic Multiplier\",\"authors\":\"S. Gharge, Shrutika Patel, Aditi Patil, Nidhi Mundhada, Vaishnavi. K. Shetty\",\"doi\":\"10.1109/ICNTE56631.2023.10146701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multipliers are utilized in a wide range of DSP applications nowadays, including vector product, filtering, convolution operations, matrix multiplication, etc. The parameters which are important to consider with precision are speed of operation, chip space occupied, ease of design, power consumption, high noise immunity, and so on. In this paper comparison of the maximum combinational path latency, chip area consumption, and total on-chip power of an 8-bit Vedic multiplier using Urdhva Tiryagbhyam method, an 8-bit Wallace tree multiplier, and 8bit Array Multiplier written in Verilog has been done. For proper comparison, all multipliers are made with full adders, half adders, n-bit adders, and basic gates. Creation and the simulation of the stated multipliers using Xilinx ISE 14.7 on device 6slx9tqg144-2 and implementation of the 8-bit Vedic multiplier on EDGE Spartan 7 FPGA Board has been done to validate the same. Design of Vedic multiplier and it’s comparison with above mentioned multipliers is presented in this paper.\",\"PeriodicalId\":158124,\"journal\":{\"name\":\"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNTE56631.2023.10146701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNTE56631.2023.10146701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

如今,乘法器广泛应用于DSP应用中,包括向量积、滤波、卷积运算、矩阵乘法等。计算精度需要考虑的重要参数有运算速度、芯片占用空间、易设计性、功耗、高抗噪性等。本文比较了采用Urdhva Tiryagbhyam法的8位Vedic乘法器、用Verilog编写的8位Wallace树乘法器和8位Array乘法器的最大组合路径延迟、芯片面积消耗和片上总功耗。为了进行适当的比较,所有的乘法器都由全加法器、半加法器、n位加法器和基本门组成。在6slx9tqg144-2设备上使用Xilinx ISE 14.7创建和模拟所述乘法器,并在EDGE Spartan 7 FPGA板上实现8位Vedic乘法器,以验证相同的结果。本文介绍了吠陀乘法器的设计,并与上述乘法器进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Analysis of 8-bit Vedic Multiplier
Multipliers are utilized in a wide range of DSP applications nowadays, including vector product, filtering, convolution operations, matrix multiplication, etc. The parameters which are important to consider with precision are speed of operation, chip space occupied, ease of design, power consumption, high noise immunity, and so on. In this paper comparison of the maximum combinational path latency, chip area consumption, and total on-chip power of an 8-bit Vedic multiplier using Urdhva Tiryagbhyam method, an 8-bit Wallace tree multiplier, and 8bit Array Multiplier written in Verilog has been done. For proper comparison, all multipliers are made with full adders, half adders, n-bit adders, and basic gates. Creation and the simulation of the stated multipliers using Xilinx ISE 14.7 on device 6slx9tqg144-2 and implementation of the 8-bit Vedic multiplier on EDGE Spartan 7 FPGA Board has been done to validate the same. Design of Vedic multiplier and it’s comparison with above mentioned multipliers is presented in this paper.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信