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Efficient and Performance Guaranteed Methods for Order Reduction and Analysis of VLSI Interconnect Circuits

Efficient and Performance Guaranteed Methods for Order Reduction and Analysis of VLSI Interconnect Circuits
用于 VLSI 互连电路阶数降低和分析的高效且性能有保证的方法
批准号:
0098275
负责人:
Dian Zhou
金额:
$39.42万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-06-15 至 2005-05-31

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中文摘要
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英文摘要
The advance of high-speed deep-submicron VLSI technology requires chipinterconnect and packaging to be modeled by distributed circuits. Such adetailed modeling level eventually results in large scale linear circuits tobe analyzed. Thus, the research objective is to develop new circuit orderreduction approach to evaluate the circuit performance and characteristicsin a reasonable time period and with a guaranteed performance, as requiredby real design practice.This project focuses on the following tasks:a) Develop new order reduction approaches that provide guaranteed performance;b) Derive correspondingly high efficiency numerical methods;c) Investigate the methods of maintaining preferred characteristics in thereduced order system as well as related implementation issues;d) Investigate wavelet method application in model order reduction andanalysis; ande) Contribute to graduate education at UT- Dallas and UNC-Charlotte.The expected research results will provide efficient and performanceguaranteed methods for order reduction and analysis of VLSI interconnectcircuits, and their corresponding algorithms and software for simulationtest. It will also contribute to engineering and science aspects by theexpected research results and software, as well as to graduate education.
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SHF: Small: Collaborative Research: A Novel Method for the Performance Analysis of VLSI Circuits with Severe Parameter Value Variations due to Nano-scale Process
  • 批准号:
    1115556
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.5万
  • 财政年份:
    2011
  • 负责人:
    Dian Zhou
  • 依托单位:
Collaborative Research: Numerical Computations of Parasitic Parameters with Spectral Stochastic Collocation Methods for Nano-VLSI Technologies
  • 批准号:
    0727751
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.0万
  • 财政年份:
    2007
  • 负责人:
    Dian Zhou
  • 依托单位:
Wavelet Based Nonlinear Companding Method for Analog Circuit Behavioral Modeling
  • 批准号:
    0306298
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2003
  • 负责人:
    Dian Zhou
  • 依托单位:
NSF Young Investigator: Performance-Driven VLSI Designs
  • 批准号:
    9996429
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $7.43万
  • 财政年份:
    1999
  • 负责人:
    Dian Zhou
  • 依托单位:
海外基金