• DocumentCode
    3723377
  • Title

    Variation-aware adaptive tuning for nanophotonic interconnects

  • Author

    Rui Wu;Chin-Hui Chen;Cheng Li;Tsung-Ching Huang;Fan Lan;Chong Zhang;Yun Pan;John E. Bowers;Raymond G. Beausoleil;Kwang-Ting Cheng

  • Author_Institution
    Department of Electrical & Computer Engineering, University of California, Santa Barbara, US
  • fYear
    2015
  • Firstpage
    487
  • Lastpage
    493
  • Abstract
    Short-reach nanophotonic interconnects are promising to solve the communication bottleneck in data centers and chip-level scenarios. However, the nanophotonic interconnects are sensitive to process and thermal variations, especially for the microring structures, resulting in significant variation of an optical link´s bit error rate (BER). In this paper, we propose a power-efficient adaptive tuning approach for nanophotonic interconnects to address the variation issues. During the adaptive tuning process, each nanophotonic interconnect is adaptively allocated just enough power to meet the BER requirement. The proposed adaptive tuning approach could reduce the photonic receiver power by 8% - 34% than the worst-case based fixed design while achieving the same BER. Our evaluation results show that the adaptive tuning approach scales well with the process variation, the thermal variation and the number of communication nodes, and can accommodate different types of NoC architectures and lasers.
  • Keywords
    "Bit error rate","Tuning","Erbium","Optical device fabrication","Optical sensors","Optical receivers"
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2015 IEEE/ACM International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCAD.2015.7372609
  • Filename
    7372609