Title | ||
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Repeater Insertion to Reduce Delay and Power in Copper and Carbon Nanotube-Based Nanointerconnects. |
Abstract | ||
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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 |
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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 Zhao | 1 | 0 | 3.72 |
Peng-Wei Liu | 2 | 0 | 0.34 |
Huan Yu | 3 | 46 | 13.63 |
Yue Hu | 4 | 0 | 1.01 |
Gaofeng Wang | 5 | 20 | 5.49 |
Madhavan Swaminathan | 6 | 2 | 2.02 |