arrow
返回

Low-Power Ternary Multiplication Using Approximate Computing

delete2021-08-01
delete16
PRE
AI
S
Sunmean Kim
Y
Yesung Kang
S
Seunghan Baek
Y
Youngchang Choi
S
Seokhyeong Kang *
DOI:10.1109/TCSII.2021.3068971delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
We propose a novel approximate computing technique for low-power ternary multiplication. A carry-truncated ternary multiplier, error compensation circuits, and 2x2 ternary multipliers with various accuracies are proposed using the low-power design methodology with carbon nanotube FETs. An accuracy-configurable design method is proposed to design energy-efficient 6x6 approximate ternary multipliers. The energy benefit of the proposed 6x6 approximate ternary multipliers have been verified using HSPICE simulation. The proposed approximate design shows 82.8% power-delay product with 41.8% mean absolute percentage error improvement over the previous approximate multiplier-based design. Image processing applications are conducted using the proposed approximate designs to confirm that the accuracy of ternary multiplication is satisfied the user's requirement.
Keyword:
Multi-valued Logic
ternary Logic Circuits
CNTFET
ternary multiplier
approximate computing
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

I
IEEE Transactions on Circuits and Systems and Express Briefs
IF:
4.9
论文数:
8.8K
被引数:
2.5W

机构

暂无机构信息