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FET: Small: Design Optimization of Silicon Photonic Integrated Circuits under Fabrication Process Variations

FET: Small: Design Optimization of Silicon Photonic Integrated Circuits under Fabrication Process Variations
FET:小型:制造工艺变化下硅光子集成电路的设计优化
批准号:
2006788
负责人:
Mahdi Nikdast
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-06-15 至 2024-05-31

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中文摘要
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英文摘要
Silicon photonics technology has made it possible to realize fully integrated photonic circuits with sub-micron silicon photonic devices. As a result, small and mobile photonic circuits can be developed that can perform a variety of optical functions for different applications, but with much lower cost and energy consumption. However, there is a fundamental issue that has limited the emergence of silicon photonic integrated circuits: the underlying silicon photonic devices in these circuits are extremely sensitive to fabrication-process variations. Indeed, nanometer-scale variations in the critical dimensions of silicon photonic devices considerably degrade the performance of the resulting circuits and even cause circuit failures. Unfortunately, the inability to efficiently characterize and compensate for fabrication-process variations have so far limited the development of cost-effective silicon photonic integrated circuits capable of delivering the true potential of silicon photonics. To combat this, the project involves research to realize energy-efficient and complex silicon photonic integrated circuits for different real-world applications that will be fully functional even in the presence of variation-plagued components. In addition, this project will create training opportunities for industrial participants and students at different levels to work on real-world problems while emphasizing the inclusion of underrepresented groups, thereby improving the education infrastructure and training highly skilled practitioners.The project contributions will involve developing: 1) comprehensive models of systematic and stochastic process variations in silicon photonics while incorporating both the probabilistic and non-probabilistic nature of uncertainties; 2) a framework to optimize silicon photonic sub-circuits and circuits under fabrication-process variations during design-time; and, and 3) energy-efficient circuit-level solutions to efficiently compensate for the impact of fabrication-process variations during run-time. For characterizing different variations, novel silicon photonic test structures and analytical algorithms will be designed to model different sources of fabrication-process variations and their impact. Efficient and compact stochastic analytical models will be developed to extensively explore and optimize silicon photonic sub-circuit and circuit performance under variations. For design-time optimization, the silicon-photonic integrated-circuit design problem will be modeled as a formal optimization problem to realize energy-efficient and robust circuits under fabrication-process variations. The performance under fabrication-process variations will be further improved by developing run-time self-correction mechanisms based on adaptive photonic signal multiplexing, robust signal routing and contention-management schemes, and dynamic adaptations for inexact circuit behavior under variations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(24)
专著(0)
科研奖励(0)
会议论文
Optimizing Coherent Integrated Photonic Neural Networks under Random Uncertainties
随机不确定性下优化相干集成光子神经网络
DOI: --
发表时间: 2021
期刊: IEEE/OSA Optical Networking and Communication Conference & Exhibition (OFC
影响因子: --
作者: [Banerjee, Sanmitra, Nikdast, Mahdi, Chakrabarty, Krishnendu]
通讯作者: Chakrabarty, Krishnendu
DOI: 10.1109/access.2023.3241146
发表时间: 2023
期刊: IEEE Access
影响因子: 3.9
作者: [Amin Shafiee;S. Pasricha;M. Nikdast]
通讯作者: Amin Shafiee;S. Pasricha;M. Nikdast
DOI: 10.1145/3386263.3406919
发表时间: 2020-02
期刊: Proceedings of the 2020 on Great Lakes Symposium on VLSI
影响因子: --
作者: [Febin P. Sunny;Asif Mirza;Ishan G. Thakkar;S. Pasricha;M. Nikdast]
通讯作者: Febin P. Sunny;Asif Mirza;Ishan G. Thakkar;S. Pasricha;M. Nikdast
DOI: 10.1109/isvlsi54635.2022.00035
发表时间: 2022
期刊: Proc. IEEE Computer Society Annual Symposium on VLSI (ISVLSI
影响因子: --
作者: [Banerjee, Sanmitra, Nikdast, Mahdi, Pasricha, Sudeep, Chakrabarty, Krishnendu]
通讯作者: Chakrabarty, Krishnendu
23
    CAREER: Optimizing Scalability and Reconfigurability in Silicon Photonic Switch Fabrics
    • 批准号:
      2046226
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $57.51万
    • 财政年份:
      2021
    • 负责人:
      Mahdi Nikdast
    • 依托单位:
    NSF Student Participation Grant for 2020 IEEE International Conference on Green and Sustainable Computing (IEEE IGSC)
    • 批准号:
      2040186
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.0万
    • 财政年份:
      2020
    • 负责人:
      Mahdi Nikdast
    • 依托单位:
    NSF Student Travel Grant for 2019 IEEE International Conference on Green and Sustainable Computing (IEEE IGSC)
    • 批准号:
      1939004
    • 项目类别:
      Standard Grant
    • 资助金额:
      $2.0万
    • 财政年份:
      2019
    • 负责人:
      Mahdi Nikdast
    • 依托单位:
    国内基金
    海外基金
    昼夜节律性small RNA在血斑形成时间推断中的法医学应用研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
    • 依托单位:
    tRNA-derived small RNA上调YBX1/CCL5通路参与硼替佐米诱导慢性疼痛的机制研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      10.0万元
    • 批准年份:
      2022
    • 负责人:
      张祥忠
    • 依托单位:
    Small RNA调控I-F型CRISPR-Cas适应性免疫性的应答及分子机制
    Small RNAs调控解淀粉芽胞杆菌FZB42生防功能的机制研究
    • 批准号:
      31972324
    • 项目类别:
      面上项目
    • 资助金额:
      58.0万元
    • 批准年份:
      2019
    • 负责人:
      高学文
    • 依托单位: