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下降的指数级增长极大地影响了纳米级集成系统的各个方面。这些新出现的物理效应导致过多的性能变化，并使当前的集成电路设计方法无效。为了克服这些挑战并继续沿着摩尔定律预测的道路前进，需要对设计范式进行根本性转变，以无缝集成纳米技术特性、集成电路设计和先进电子设计自动化 (EDA) 策略。该项目旨在开发一套全面的预测设计工具，以分析和减轻存在多种不确定性来源时的电路性能变化。这些设计工具包括可变性模型、统计分析和并发优化方法，以提高从计算到消费电子产品的未来所有类型纳米级系统的设计可预测性和可靠性。此外，还将开发一个分层框架来统计预测各种可变性和可靠性约束下的系统性能。该框架允许设计人员识别关键设计需求，评估重要的设计权衡，并自适应地预先做出设计决策。该项目的研究工作促进了纳米电路的稳健设计，并增强了对使用不可靠组件进行可靠设计的基本理解，包括纳米级互补金属氧化物半导体（CMOS）和未来新兴技术。该项目的教育部分通过新颖的教育课程和基于网络的传播工具，将新开发的设计知识传授给不同的学生群体。基本设计概念将在 K-12 教师的暑期课程中教授，其水平可以被教师欣赏，更重要的是，可以被学生欣赏，以激发对工程的初步兴趣。