Efficient and optimized approximate GDI full adders based on dynamic threshold CNTFETs for specific least significant bits  

作　　者：Ayoub SADEGHI Razieh GHASEMI Hossein GHASEMIAN Nabiollah SHIRI 

机构地区：[1]Department of Electrical Engineering,Shiraz Branch,Islamic Azad University,Shiraz 7198774731,Iran [2]School of Electrical Engineering,Iran University of Science and Technology,Tehran 1684613114,Iran [3]Department ofElectrical and Electronic Engineering,Shiraz University of Technology,Shiraz 7155713876,Iran

出　　处：《Frontiers of Information Technology & Electronic Engineering》2023年第4期599-616,共18页信息与电子工程前沿（英文版）

摘　　要：Carbon nanotube field-effect transistors(CNTFETs) are reliable alternatives for conventional transistors, especially for use in approximate computing(AC) based error-resilient digital circuits. In this paper, CNTFET technology and the gate diffusion input(GDI) technique are merged, and three new AC-based full adders(FAs) are presented with 6, 6, and 8 transistors, separately. The nondominated sorting based genetic algorithm II(NSGA-II) is used to attain the optimal performance of the proposed cells by considering the number of tubes and chirality vectors as its variables. The results confirm the circuits' improvement by about 50% in terms of power-delay-product(PDP) at the cost of area occupation. The Monte Carlo method(MCM) and 32-nm CNTFET technology are used to evaluate the lithographic variations and the stability of the proposed circuits during the fabrication process, in which the higher stability of the proposed circuits compared to those in the literature is observed. The dynamic threshold(DT) technique in the transistors of the proposed circuits amends the possible voltage drop at the outputs. Circuitry performance and error metrics of the proposed circuits nominate them for the least significant bit(LSB) parts of more complex arithmetic circuits such as multipliers.

关 键 词：Carbon nanotube field-effect transistor(CNTFET) Optimization algorithm Nondominated sorting based genetic algorithm II(NSGA-II) Gate diffusion input(GDI) Approximate computing 

分 类 号：TN386[电子电信—物理电子学] TP18[自动化与计算机技术—控制理论与控制工程]