Time-division-multiplexed arbitration in silicon nanophotonic networks-on-chip for high-performance chip multiprocessors

  • Authors:
  • Gilbert Hendry;Eric Robinson;Vitaliy Gleyzer;Johnnie Chan;Luca P. Carloni;Nadya Bliss;Keren Bergman

  • Affiliations:
  • Lightwave Research Laboratory, Department of Electrical Engineering, Columbia University, 500 W 120th St, Mudd 1300, New York, NY 10027, United States;Lincoln Laboratory, Massachusetts Institute of Technology, 244 Wood St, Lexington, MA 02420, United States;Lincoln Laboratory, Massachusetts Institute of Technology, 244 Wood St, Lexington, MA 02420, United States;Lightwave Research Laboratory, Department of Electrical Engineering, Columbia University, 500 W 120th St, Mudd 1300, New York, NY 10027, United States;Department of Computer Science, Columbia University, 450 Computer Science Building, 1214 Amsterdam Ave., Mailcode: 0401, New York, NY 10027, United States;Lincoln Laboratory, Massachusetts Institute of Technology, 244 Wood St, Lexington, MA 02420, United States;Lightwave Research Laboratory, Department of Electrical Engineering, Columbia University, 500 W 120th St, Mudd 1300, New York, NY 10027, United States

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2011

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Abstract

As the computational performance of microprocessors continues to grow through the integration of an increasing number of processing cores on a single die, the interconnection network has become the central subsystem for providing the communications infrastructure among the on-chip cores as well as to off-chip memory. Silicon nanophotonics as an interconnect technology offers several promising benefits for future networks-on-chip, including low end-to-end transmission energy and high bandwidth density of waveguides using wavelength division multiplexing. In this work, we propose the use of time-division-multiplexed distributed arbitration in a photonic mesh network composed of silicon micro-ring resonator based photonic switches, which provides round-robin fairness to setting up photonic circuit paths. Our design sustains over 10x more bandwidth and uses less power than the compared network designs. We also observe a 2x improvement in performance for memory-centric application traces using the MORE modeling system.