课题基金 / 基金详情

IRES: Development of Global Scientists and Engineers by Collaborative Research on Variation-Aware Nanometer IC Design

IRES: Development of Global Scientists and Engineers by Collaborative Research on Variation-Aware Nanometer IC Design
IRES:通过变异感知纳米 IC 设计的合作研究来促进全球科学家和工程师的发展
批准号:
1130402
负责人:
Sheldon Tan
金额:
$15.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-01 至 2015-07-31

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中文摘要
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英文摘要
This project will provide U.S. students with the opportunity to gain international research experience in verifying and designing nanometer silicon-based nanometer integrated computing and communication systems. U.S. students will spend four weeks per year at Tsinghua University in Beijing, China. This project will support the collaborative research and education activities between the MSLAB Lab at University of California at Riverside and the Design Automation Lab (EDA) at Tsinghua University of China. The team will jointly tackle the challenges of verifying and designing silicon-based nanometer VLSI systems. The collaborative research projects will focus on the efficient statistical full-chip power estimation considering process variations with spatial correlations and chip yield improvement techniques due to power and timing variations. U.S. students will jointly develop new statistical leakage, dynamic and total power estimation techniques and statistical chip yield optimization techniques for design and optimization of nanometer high performance integrated computing and communication systems.Broader Impact. The proposed collaborative educational and research activities will provide unique training, mentoring, networking and intellectual development opportunities for U.S. students. Such international engagement will benefit the students' entire careers and help improve their competitiveness and competency as scientists and engineers. Finally, the joint research will strengthen existing computer engineering research and education programs, and broaden the collaborative research works at UC Riverside in synergy with one well-recognized and funded research program in China. The curriculum and textbook development will boost the VLSI design technique research at UC Riverside and promote the statistical VLSI performance modeling and estimation field as a scholarly discipline.
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SHF:Small: Learning-based Fast Analysis and Fixing for Electromigration Damage
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  • 资助金额:
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  • 财政年份:
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SHF:Small: Machine Learning Approach for Fast Electromigration Analysis and Full-Chip Assessment
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  • 项目类别:
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  • 资助金额:
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IRES Track I: Development of Global Scientists and Engineers by Collaborative Research on Reliability-Aware IC Design
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    1854276
  • 项目类别:
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  • 资助金额:
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  • 负责人:
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国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
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  • 批准年份:
    2020
  • 负责人:
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  • 依托单位: