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: --
• 依托单位: Arizona State University
• 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
• 起止时间: 2006-08-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0546054&HistoricalAwards=false
• 关键词: CAREER; Bridging; Technology; EDA; Gap

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.

制造变化，环境不确定性和可靠性降解的指数升高对纳米级集成系统的所有方面都产生了巨大影响。这些新兴的物理效应导致过度的性能变异性，并使当前的集成电路设计情节学无效。为了克服这些挑战并沿着摩尔定律预测的路径，需要在设计范式上进行基本转变，以无缝整合纳米技术属性，集成电路设计和高级电子设计自动化（EDA）策略。该项目旨在开发一套全面的预测设计工具，以分析和减轻多种不确定性来源的电路性能变异性。这些设计工具包括可变性模型，统计分析和并发优化方法，以改善从计算到消费电子产品的所有类型的未来纳米级系统的设计可预测性和可靠性。此外，将开发一个分层框架，以在各种可变性和可靠性限制下在统计上预测系统性能。该框架使设计人员可以确定关键的设计需求，评估重要的设计权衡，并适应设计决策。该项目的研究工作促进了纳米电路的稳健设计，并通过不可靠的组件（包括纳米级互补金属氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化物 - 氧化胜地）（CMOS）和未来的新兴技术增强了对可靠设计的基本理解。该项目的教育部分通过新颖的教育课程和基于Web的传播工具将新开发的设计知识转移给了许多学生。基本的设计概念将在夏季课程中为K-12教师讲授，这是教师可以欣赏的水平，更重要的是，他们的学生可以刺激对工程学的最初兴趣。