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退化的指数级上升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可变性并使当前的集成电路设计方法失效。为了克服这些挑战，并继续沿着由摩尔定律预测的路径，需要在设计范式的根本转变，无缝集成纳米技术性能，集成电路设计，和先进的电子设计自动化（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、统计分析和并行优化方法，以提高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，以统计预测系统性能的各种可变性和可靠性的约束。该框架允许设计人员识别关键的设计需求，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，并增强了对不可靠元件（包括纳米级互补金属氧化物半导体（CMOS）和未来新兴技术）的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网络传播工具，将新开发的设计知识传授给各种学生。基本的设计概念将在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，学生可以激发对工程的初步兴趣。