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Power efficient photonic network-on-chip for a scalable GPU

Published: 17 October 2019 Publication History
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  • Abstract

    In this paper, we propose an energy efficient and scalable optical interconnect for GPUs. We intelligently divide the components in a GPU into different types of clusters and enable these clusters to communicate optically with each other. In order to reduce the network delay, we use separate networks for coherence and non-coherence traffic. Moreover, to reduce the static power consumption in optical interconnects, we modulate the off-chip light source by proposing a novel GPU specific prediction scheme for on-chip network traffic. Using our design, we were able to increase the performance by 17% and achieve a 65% reduction in ED2 as compared to a state-of-the-art optical topology.

    References

    [1]
    J. Bashir, E. Peter, and S. R. Sarangi. 2019. BigBus: A Scalable Optical Interconnect. ACM JETC 15, 8 (2019), 8:1--8:24.
    [2]
    J. Bashir, E. Peter, and S. R. Sarangi. 2019. A Survey of On-Chip Optical Interconnects. ACM Comput. Surv. 51, 6 (Jan. 2019), 115:1--115:34.
    [3]
    S. Che, M. Boyer, J. Meng, D. Tarjan, J W Sheaffer, S. Lee, and K. Skadron. 2009. Rodinia: A benchmark suite for heterogeneous computing. In IISWC.
    [4]
    G. Malhotra, S. Goel, and S. R. Sarangi. 2014. Gputejas: A parallel simulator for gpu architectures. In HiPC.
    [5]
    A. K. Ziabari, J. L. Abellán, R. Ubal, C. Chen, A. Joshi, and D. Kaeli. 2015. Leveraging silicon-photonic noc for designing scalable gpus. In ICS.

    Cited By

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    • (2020)GPUOPTACM Journal on Emerging Technologies in Computing Systems10.1145/341685017:1(1-26)Online publication date: 22-Sep-2020
    • (2020)Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)10.1109/CITISIA50690.2020.9371775(1-10)Online publication date: 25-Nov-2020
    1. Power efficient photonic network-on-chip for a scalable GPU

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      cover image ACM Conferences
      NOCS '19: Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip
      October 2019
      161 pages
      ISBN:9781450367004
      DOI:10.1145/3313231
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      • IEEE Circuits and Systems Society
      • IEEE-CEDA

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 17 October 2019

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      Author Tags

      1. graphics processing unit (GPU)
      2. nanophotonics

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      • Poster

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      NOCS '19
      NOCS '19: International Symposium on Networks-on-Chip
      October 17 - 18, 2019
      New York, New York

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      Overall Acceptance Rate 14 of 44 submissions, 32%

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      Cited By

      View all
      • (2020)GPUOPTACM Journal on Emerging Technologies in Computing Systems10.1145/341685017:1(1-26)Online publication date: 22-Sep-2020
      • (2020)Computational Intelligence in Photonics Technology and Optical Networks: A Survey and Future Perspectives2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)10.1109/CITISIA50690.2020.9371775(1-10)Online publication date: 25-Nov-2020

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