Title
Repeater Insertion to Reduce Delay and Power in Copper and Carbon Nanotube-Based Nanointerconnects.
Abstract
Optimal repeater designs are performed for Cu and carbon nanotube (CNT)-based nanointerconnects to reduce the delay and power dissipation. The effects of inductance and metal-CNT contact resistance are treated appropriately. In this paper, the circuit parameters are calculated analytically, while they can be extracted experimentally for a specific foundry at a specific technology node. The particle swarm optimization (PSO) technique is employed to numerically calculate the optimal repeater size and the optimal number of repeaters in the Cu and CNT-based nanointerconnects. The results are verified against the analytical and genetic algorithm results. To facilitate CAD design, the machine-learning neural network (NN) is adopted. The data obtained using the PSO algorithm are used to train the NN and the feasibility of the NN is investigated and validated.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2893960
IEEE ACCESS
Keywords
Field
DocType
Carbon nanotube,copper,nanointerconnect,neural network,particle swarm optimization,repeater insertion,time delay,power dissipation
Computer science,Computer network,Repeater insertion,Carbon nanotube,Electrical engineering,Copper
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Wen-Sheng Zhao103.72
Peng-Wei Liu200.34
Huan Yu34613.63
Yue Hu401.01
Gaofeng Wang5205.49
Madhavan Swaminathan622.02