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Advanced interior point techniques for placement, routing and floorplanning problems arising in integrated circuit design

Advanced interior point techniques for placement, routing and floorplanning problems arising in integrated circuit design
先进的内点技术,解决集成电路设计中出现的布局、布线和布局规划问题
批准号:
44456-2011
负责人:
Vannelli, Anthony
金额:
$1.97万
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:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
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英文摘要
The design of many fundamental manufacturing and circuit layout problems can be modeled as linear or nonlinear combinatorial optimization problems. All of these problems are NP hard. Very tight performance specifications for these problems (minimum area, minimum power and congestion) demand near optimal designs subject to many millions to billions of constraints and variables. Over the last six years, we have developed efficient optimization techniques that can be used to solve these problems using interior point and semidefinite programming approaches that can be solved in polynomial time. We have also developed efficient interior point solvers including warmstarting that accelerate solution times for combinatorial problems.
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Advanced Large-Scale Optimization Approaches to Solve Modern Circuit Layout Problems
  • 批准号:
    RGPIN-2016-03833
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2022
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Advanced Large-Scale Optimization Approaches to Solve Modern Circuit Layout Problems
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    RGPIN-2016-03833
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2021
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    Vannelli, Anthony
  • 依托单位:
Advanced Large-Scale Optimization Approaches to Solve Modern Circuit Layout Problems
  • 批准号:
    RGPIN-2016-03833
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
Advanced Large-Scale Optimization Approaches to Solve Modern Circuit Layout Problems
  • 批准号:
    RGPIN-2016-03833
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2019
  • 负责人:
    Vannelli, Anthony
  • 依托单位:
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