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CAREER: Bridging the Technology-EDA Gap through Strategic Tools for Robust Nanometer Design

CAREER: Bridging the Technology-EDA Gap through Strategic Tools for Robust Nanometer Design
职业:通过稳健纳米设计的战略工具弥合技术与 EDA 差距
批准号:
0546054
负责人:
Yu Cao
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-08-15 至 2011-07-31

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中文摘要
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英文摘要
The exponential rise of manufacturing variations, environmental uncertainties, and reliability degradations dramatically influences all aspects of a nanoscale integrated system. These emerging physical effects lead to an excessive amount of performance variability and invalidate current integrated circuit design ethodologies. To overcome these challenges and continue along the path predicted by Moore's law, a fundamental shift in the design paradigm is needed to seamlessly integrate nanometer technology properties, integrated circuit design, and advanced electronic design automation (EDA) strategies. This project aims to develop a comprehensive suite of predictive design tools to analyze and mitigate circuit performance variability in the presence of multiple sources of uncertainties. These design tools comprise variability models, statistical analysis, and concurrent optimization methods to improve design predictability and reliability for future nanoscale systems of all types, from computation to consumer electronics. In addition, a hierarchical framework will be developed to statistically predict system performance under various variability and reliability constraints. This framework allows designers to identify key design needs, evaluate important design tradeoffs, and adaptively make design decisions up front. Research efforts in this project facilitate the robust design of nanometer circuits and enhance the fundamental understanding of reliable design with unreliable components, including both nanoscale complementary-metal-oxide-semiconductors (CMOS) and future emerging technologies. The education component of this project transfers the newly developed design knowledge to a diverse population of students, through novel education curricula and web-based dissemination tools. The basic design concepts will be taught in a summer course for K-12 teachers, at a level that can be appreciated by the teachers and, more importantly, by their students to stimulate an initial interest in engineering.
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Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System
SHF: Small: Efficient and Accurate Learning with Low-Precision Components: A Cortex-Inspired Approach
  • 批准号:
    1715443
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2017
  • 负责人:
    Yu Cao
  • 依托单位:
SHF: Conference: Hardware and Algorithms for Learning On-a-chip; November 5, 2015; Austin, TX
  • 批准号:
    1545974
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2015
  • 负责人:
    Yu Cao
  • 依托单位:
REU SITE: Research on Biomedical Informatics
  • 批准号:
    1415477
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.14万
  • 财政年份:
    2013
  • 负责人:
    Yu Cao
  • 依托单位:
海外基金