Area and power-efficient innovative congestion-aware Network-on-Chip architecture

  • Authors:
  • Chifeng Wang;Wen-Hsiang Hu;Seung Eun Lee;Nader Bagherzadeh

  • Affiliations:
  • Dept. of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA;Dept. of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA;Dept. of Electronic and Information Engineering, Seoul National University of Science and Technology, Korea;Dept. of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA

  • Venue:
  • Journal of Systems Architecture: the EUROMICRO Journal
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper proposes a novel Network-on-Chip architecture that not only enhances network transmission performance while maintaining a feasible implementation cost, but also provides a power-efficient solution for interconnection network scenarios. Diagonally-linked mesh NoC that uses wormhole packet switching technique implements a high-performance NoC platform to meet both cost and power consumption requirements. The proposed architecture uses an adaptive quasi-minimal routing algorithm so that it can improve average latency and saturation traffic load owing to its flexibility and adaptiveness. Based on these features, a congestion-aware routing algorithm is proposed to balance traffic load so as to alleviate congestion caused by high throughput network activities. Simulation results show that saturation load is improved dramatically for various traffic patterns. Implementation results also show that employing diagonal links is a more area-efficient method for improving network performance than using large buffers. It is shown that congestion-aware router requires negligible cost overhead but provides better throughput. Finally, simulation results also reveal that power consumption in the proposed architecture outperforms traditional mesh networks.