Simplified Compressor and Encoder Designs for Low-Cost Approximate Radix-4 Booth Multiplier
Author:
Affiliation:
1. Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea
2. Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, South Korea
Funder
Korean Government
Sports Promotion Fund of Seoul Olympic Sports Promotion Foundation from Ministry of Culture, Sports and Tourism
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10061496/09931337.pdf?arnumber=9931337
Reference22 articles.
1. Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator
2. Approximate Multipliers Based on New Approximate Compressors
3. Approximate Hybrid High Radix Encoding for Energy-Efficient Inexact Multipliers
4. A Majority-Based Imprecise Multiplier for Ultra-Efficient Approximate Image Multiplication
5. Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Energy-Efficient Neural Network Acceleration Using Most Significant Bit-Guided Approximate Multiplier;Electronics;2024-08-01
2. Design of Approximate Tree Multiplier Using Approximate Compressor for Image Processing Applications;IETE Journal of Research;2024-05-23
3. Low-Power Encoder and Compressor Design for Approximate Radix-8 Booth Multiplier;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
4. Most Significant One-Driven Shifting Dynamic Efficient Multipliers for Large Language Models;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
5. ACE-CNN: Approximate Carry Disregard Multipliers for Energy-Efficient CNN-Based Image Classification;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-05
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