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POSTER: Fly-Over: A Light-Weight Distributed Power-Gating Mechanism For Energy-Efficient Networks-on-Chip

Published:11 September 2016Publication History

ABSTRACT

Reducing static NoC power consumption is becoming critical for energy-efficient computing as technology scales down since NoCs are devouring a large fraction of the on-chip power budget. We propose Fly-Over (FLOV), a light-weight distributed mechanism for power-gating routers. With simple modifications to the baseline router architecture, FLOV links are facilitated over power-gated routers. A Handshake protocol that allows seamless router power-gating in addition to a dynamic routing algorithm, that provides best-effort minimal path without the necessity for global network information, maintain normal NoC functionality. We evaluate our schemes using synthetic workloads as well as real workloads from PARSEC 2.1 benchmark suite. The results show that FLOV can achieve on average 19.2% latency reduction and 15.9% total energy savings.

References

  1. N. Jiang, D. U. Becker, G. Michelogiannakis, J. Balfour, B. Towles, D. E. Shaw, J.-H. Kim, and W. J. Dally. A Detailed and Flexible Cycle-Accurate Network-on-Chip Simulator. In International Symposium on Performance Analysis of Systems and Software (ISPASS), pages 86--96. IEEE, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  2. A. Samih, R. Wang, A. Krishna, C. Maciocco, C. Tai, and Y. Solihin. Energy-Efficient Interconnect via Router Parking. In International Symposium on High Performance Computer Architecture (HPCA), pages 508--519. IEEE, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. POSTER: Fly-Over: A Light-Weight Distributed Power-Gating Mechanism For Energy-Efficient Networks-on-Chip

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                        • Published in

                          cover image ACM Conferences
                          PACT '16: Proceedings of the 2016 International Conference on Parallel Architectures and Compilation
                          September 2016
                          474 pages
                          ISBN:9781450341219
                          DOI:10.1145/2967938

                          Copyright © 2016 Owner/Author

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                          Association for Computing Machinery

                          New York, NY, United States

                          Publication History

                          • Published: 11 September 2016

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