LCINDEP: a novel technique for leakage reduction in FinFET based circuits

Author:

Mushtaq UmayiaORCID,Akram Md WaseemORCID,Prasad DineshORCID,Nagar Bal Chand

Abstract

Abstract Due to the continuous downsizing of metal oxide semi-conductor field effect transistor devices, power dissipation is one of the vital issues for the integrated circuit design. As a result of voltage scaling at lower technology nodes, threshold voltage decreases which results in increase in leakage current, hence leads to increase in leakage power dissipation. In this paper, a novel low leakage technique called LCINDEP (leakage control input DEPendent) is proposed for nano-scaled circuits. The device characteristics and hence overall performance gets affected due to increased power dissipation. Proposed LCINDEP technique is extensively demonstrated for low power operation and reliability analysis. Various short gate (SG) fin type field effect transistor (FinFET) logic circuits are simulated using LCINDEP technique and comparative analysis is performed with the already available leakage reduction techniques. The proposed LCINDEP technique provides reduced leakage power by 89.71% and 91.92% in LCINDEP SG FinFET NAND and NOR gates respectively with respect to the conventional SG FinFET NAND and NOR gates. Besides this benchmark circuits like ring oscillator and ISCAS-85 C17 show decrease in power dissipation by 24.75% and 35.5% respectively with LCINDEP technique in respect to the conventional FinFET circuits. Reliability analysis in terms of process voltage and temperature variations is performed using Monte Carlo Approach for 5000 samples, which also depicts that proposed LCINDEP technique is more reliable than the available low power techniques. The normalized standard deviations (σ/µ)% is improved by 54.68% and 43.93% for power delay product metric in the proposed technique compared to the conventional one for SG FinFET NAND and NOR gates respectively. All the simulations are performed at 16 nm technology node for FinFET logic devices using predictive technology model multigate based on BSIM-CMG on HSPICE tool.

Publisher

IOP Publishing

Subject

Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

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