Design & Implementation of Approximate 7:2 Compressor Based 16-bit Dadda Multiplier using Verilog

Author:

Satyanarayana P V VORCID, ,Venkanna M.ORCID,Jayasri S.ORCID,Kalyani J. VasaviORCID,Ramjee B.ORCID, , , ,

Abstract

Now a days the technology is growing day by day with faster rate. Particularly the usage of electronics is increasing in wide range of ways depending on their intended purpose and preferences. In this regard multipliers are playing a vital role because they allow us to perform complex arithmetic operations involving large numbers more efficiently. Instead of performing a series of addition or subtraction operations, a multiplier allows us to perform the operation in a single step within no time that is the challenge of today’s world. So in addition to being more efficient, multipliers also have practical applications in fields such as engineering, computer science, and cryptography also used , for example, in the design of digital circuits and in the encryption and decryption of data. Overall, multipliers playing an important role in mathematics and its applications and are essential tools for performing complex computations efficiently. Compressors play a vital role in realizing the high speed multipliers. In error resilient applications such as Image processing, Multimedia and Matrix multiplication the approximate computing is used, which provides meaningful results faster with lower power consumption. In previous work the compressors are designed using the full adders which provides accurate results. The 4:2 and 5:2 approximate compressors are then introduced with 18% delay reduction and ADP reduction up to 52%. Now the further work concentrated on the implementation of 7:2 Approximate Compressor based multiplier, to further enhance the performance of multipliers. The proposed design will be expected to provide maximum extent of reduction in area, delay or power consumption and achieves improvement in terms of speed as compared to the 4:2 and 5:2 compressor based approximate multiplier.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Management of Technology and Innovation,General Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3