IEEE Access (Jan 2019)

Repeater Insertion to Reduce Delay and Power in Copper and Carbon Nanotube-Based Nanointerconnects

  • Wen-Sheng Zhao,
  • Peng-Wei Liu,
  • Huan Yu,
  • Yue Hu,
  • Gaofeng Wang,
  • Madhavan Swaminathan

DOI
https://doi.org/10.1109/ACCESS.2019.2893960
Journal volume & issue
Vol. 7
pp. 13622 – 13633

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.

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