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Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties

Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
存在不确定性的大型系统的仿真和性能优化
批准号:
RGPIN-2017-06368
负责人:
Nakhla, Michel
金额:
$5.1万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
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英文摘要
Therapid evolution of the global electronic industry is unceasingly introducingnew products operating at ever higher frequencies and bitrates. At such highdata rates, high-frequency effects become the dominant factor limiting theoverall performance of microelectronic systems. In addition, the fast risingdemand for multifunction and miniature products warrants integration ofheterogeneous circuit modules. As a result, the traditional boundaries betweendifferent design domains are fast vanishing. Moreover, variability of thegeometrical and physical parameters and its effect on the system performance isadding another major concern. This uncertainty becomes inevitable at all levelsof the design hierarchy. For example, manufacturing uncertainties cansignificantly influence the performance of on-chip interconnects, leading totiming variations that can propagate to the circuit or board level withnegative impact on the whole system performance and yield. The researchproposal calls for a paradigm shift in the development of the underlying designalgorithms and methodologies by promoting “Design for Uncertainties” as a majoringredient in the design process. As a step towards this goal, several of theplanned research activities are focused on the development of specializedstochastic algorithms to model and simulate the underlying statisticalinformation at different levels of the design hierarchy. In addition,systematic methods will be developed to incorporate these algorithms in thedesign cycle to achieve optimal design centering. The planned researchaddresses generic strategic issues common to high-speed applications and willadvance the state-of-art in a broad spectrum of interrelated topics. Thesuccess of the proposed research will provide designers with the ability toefficiently plan and design large-scale systems that are not currentlyfeasible; resulting in superior and more reliable multi-function electronic andcommunication products. In addition, the benefits of the proposed research are notlimited to the design of high-speed electronic systems since large-scale anduncertainty quantification challenges are common issues in several other fieldswithin engineering and science.
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Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
  • 批准号:
    RGPIN-2017-06368
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.1万
  • 财政年份:
    2021
  • 负责人:
    Nakhla, Michel
  • 依托单位:
Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
  • 批准号:
    RGPIN-2017-06368
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.1万
  • 财政年份:
    2020
  • 负责人:
    Nakhla, Michel
  • 依托单位:
Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
  • 批准号:
    RGPIN-2017-06368
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.1万
  • 财政年份:
    2019
  • 负责人:
    Nakhla, Michel
  • 依托单位:
Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
  • 批准号:
    RGPIN-2017-06368
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.1万
  • 财政年份:
    2018
  • 负责人:
    Nakhla, Michel
  • 依托单位:
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