Low-Latency Communication Architecture For MACS

Authors

  • Bhagyamma S  Department of Electronics & Communication Engineering, GEC, Kushalnagar, Kodagu, Karnataka, India
  • Neelappa  Department of Electronics & Communication Engineering, GEC, Kushalnagar, Kodagu, Karnataka, India
  • Rajesha K S  Department of Electronics & Communication Engineering, GEC, Kushalnagar, Kodagu, Karnataka, India
  • Shashikanth N S  Department of Electronics & Communication Engineering, GEC, Kushalnagar, Kodagu, Karnataka, India
  • Ranjitha B C  Department of Electronics & Communication Engineering, GEC, Kushalnagar, Kodagu, Karnataka, India
  • Anuradha K S  Department of Electronics & Communication Engineering, GEC, Kushalnagar, Kodagu, Karnataka, India

Keywords:

NoC, minimal adaptive, distributed round-robin, FPGA, HDL

Abstract

To enhance the parallelism and system scalability for single chip VLSI design, NoC’s are used and they are increasing day by day. In this paper we proposed MACS architecture which provides low latency, flexibility and scalability using a circuit switching technique. MACS enhances their inter processing element communication to maximize bandwidth utilization. The proposed architecture has been verified and tested on FPGA board and the results revels that the proposed architecture has better performance in terms of speed and power with compromising the area. The FPGA implementation of MACS requires 440 slices with frequency of 152.09MHz and power consumption of 0.457W.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-06-30

Issue

Volume 3, Issue 3, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Bhagyamma S, Neelappa, Rajesha K S, Shashikanth N S, Ranjitha B C, Anuradha K S "Low-Latency Communication Architecture For MACS" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.333-343, May-June-2017.