SHF: Small: Bio-Inspired Logic Design with Graph and Field Theory

SHF：小：利用图和场论进行仿生逻辑设计

• 批准号: 1319884
• 负责人: Mingjie Lin
• 金额: $ 27.16万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1319884&HistoricalAwards=false
• 关键词: SHF; Small; Bio; Inspired; Logic

As nano-scale field-effect devices quickly approach their physical limits in feature size, their stochastic device characteristics will pose severe challenges to constructing robust digital circuitry. Unlike transistor defects due to fabrication imperfection, quantum-related switching uncertainties will seriously increase their susceptibility to noise, thus rendering the traditional thinking and logic design techniques inadequate. This work aims at developing a new logic design paradigm that achieves circuit robustness for stochastically imperfect transistors and interconnects. To this end, the PI reformulates the traditional boolean-based digital design problem as a probabilistic logic-labeling problem and attempts to solve it with two approaches: a graph-theoretic approach, and a field-theoretic approach. The project also studies two unconventional logic design methodologies: a bio-inspired logic scaffolding and a self-correcting logic design. The PI will disseminate findings by developing new curricula and creating compelling interactive learning materials e.g., hardware-based emulations, software simulations, and interdisciplinary study opportunities to expose students to the new area of stochastic logic design. The PI will also create mentoring and outreach programs specifically targeted to attract underrepresented groups, thus preparing a new diverse workforce for future IC industry.

随着纳米尺度的场效应器件在特征尺寸上迅速接近其物理极限，其随机器件特性将对构建健壮的数字电路构成严峻的挑战。与晶体管由于制造缺陷而导致的缺陷不同，量子开关的不确定性会严重增加晶体管对噪声的敏感性，从而使传统的思维和逻辑设计技术显得力不从心。这项工作旨在开发一种新的逻辑设计范例，以实现对随机不完美晶体管和互连的电路健壮性。为此，PI将传统的基于布尔的数字设计问题重新描述为一个概率逻辑标记问题，并试图用两种方法来解决它：图论方法和场论方法。该项目还研究了两种非传统的逻辑设计方法：一种是仿生的逻辑支架，另一种是自校正逻辑设计。PI将通过开发新的课程和创建引人注目的互动学习材料来传播研究结果，例如基于硬件的仿真、软件模拟和跨学科学习机会，使学生接触随机逻辑设计的新领域。PI还将创建专门针对代表不足的群体的指导和外展计划，从而为未来的IC行业培养一支新的多元化劳动力队伍。