Four BIT CMOS full adder in submicron technology with low leakage and Ground bounce noise reduction

Jayashree, H. V.; Harsha, K

doi:10.1109/icdcsyst.2012.6188780

Cited by 4 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Leakage power has become critical issue [4], because electronic devices such as mobile phones, laptops, and other battery operated devices remain in standby mode for most of the time, which results in sharp battery discharge due to heavy leakage current [5]. Several techniques have been used in the past for reduction in leakage power in digital circuits but most commonly used technique is power gating [6]. It uses sleep transistors which provide high impedance between Vdd and GND during sleep mode to reduce leakage power.…”

Section: Introductionmentioning

confidence: 99%

A Reliable Leakage Reduction Technique for Approximate Full Adder with Reduced Ground Bounce Noise

Goyal¹,

Ubhi

Raj

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In this paper, an effective and reliable sleep circuit is proposed, which not only reduces leakage power but also shows significant reduction in ground bounce noise (GBN) in approximate full adder (FA) circuits. Four 1-bit approximate FA circuits are modified using proposed sleep circuit which uses one NMOS and one PMOS transistor. The design metrics such as average power, delay, power delay product (PDP), leakage power, and GBN are compared with nine other 1-bit FA circuits reported till date. All the comparisons are done using post-layout netlist at 45nm technology. The modified designs achieve reduction in leakage power and GBN up to 60% and 80%, respectively, as compared to the best reported approximate FA circuits. The modified approximate FA also achieves 83% reduction in leakage power as compared to conventional FA. Finally, application level metrics such as peak signal to noise ratio (PSNR) are considered to measure the performance of all the proposed approximate FAs.

show abstract

Section: Introductionmentioning

confidence: 99%