BRIGE: Minimum-Energy Bio-Inspired Analogic Computing Devices with Stochastic Switching Transistors under Ultra-Low VDD

BRIGE：超低 VDD 下具有随机开关晶体管的最低能耗仿生模拟计算设备

• 批准号: 1342225
• 负责人: Mingjie Lin
• 金额: $ 14.84万
• 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 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1342225&HistoricalAwards=false
• 关键词: BRIGE; Minimum; Energy; Bio; Inspired

ECCS-1342225Lin, MingjieUniversity of Central FloridaBRIGE: Minimum-Energy Bio-Inspired AnaLogic Computing Devices with Stochastic Switching Transistors under Ultra-Low VDDABSTRACTIntellectual Merit: This BRIGE project aims at achieving robust ultra-low power computation by exploiting the stochastic switching behavior observed within a CMOS digital circuit that is driven by an ultra-low supply voltage approaching the digital switching limit. This objective is motivated by two observations. First, probabilistic inference and stochastic learning are fundamental in sensor data processing. Second, emerging devices will exhibit sophisticated physical property that may natively compute probabilistic algorithms. This proposed effort will first model and analyze the stochastic switching behavior in minimum-energy CMOS transistors under ultra-low VDD (¡Ö 50mV) both analytically and experimentally. Subsequently, it will develop a field-theoretic methodology to optimize a large-scale logic circuit built with such stochastic switching devices in order to improve its robustness. Finally, it will exploit the stochastic switching behavior natively to design and implement AnaLogic circuits (between analog and logic circuits) that emulate a robust self-motion algorithm inspired by fly eye based on optical flow extraction.Broader Impacts: Leveraging the physics of field-effect devices to perform computational tasks, this proposed research could potentially inspire a totally unconventional design paradigm for emerging nanoscale device technology with severe device variability and switching uncertainty. Furthermore, the proposed field-theoretic approach offers a rich mathematical structure, therefore can broaden the current digital circuit design theory. Finally, the proposed methodology can enable more accurate understanding of existing logic circuit design methods, especially on their limitations when directly applied to future device technologies driven by ultra-low VDD. Besides disseminating its research findings through new curricula and hardware-based stochastic logic circuit emulations, this project will approach the challenge of broadening the engineering participation from underrepresented minority groups in both bottom-up (public STEM education) and top-down (PhD students recruiting) directions. The PI will create mentoring and outreach programs specifically designed to attract female, African-American, Latino, and first-generation college students to join his group, thus preparing a new diverse work force for the computing industry. Additionally, the Orlando Science Center will be used as the main platform to stimulate public interests in STEM education of computing. The success of this educational effort, through innovative exhibits and engaging mini-lectures, will be judged by the PhD enrollment of computer engineering from underrepresented groups at UCF and the size of public audience to its collaborative exhibit efforts with the Orlando Science Center.

ECCS-1342225LIN，中央佛罗里达统治的mingjieuniversity：最小能量生物启发的类似计算设备，具有随机切换在超低vddabtractintlectual的功能下的随机切换晶体管：这个Brige旨在通过实现稳健的超级计算来实现AR A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A S STICT进行）超低电源电压接近数字开关极限。这一目标是由两个观察结果激发的。首先，概率的推论和随机学习是传感器数据处理的基础。其次，新兴设备将执行复杂的物理属性，该物理属性可能本身计算概率算法。这项提出的努力将首先模拟并分析超低VDD（€50MV）下的最小能量CMOS晶体管中的随机切换行为。随后，它将开发一种现场理论方法，以优化使用如此随机开关设备构建的大规模逻辑电路，以提高其鲁棒性。最后，它将在设计和实施类似电路（模拟和逻辑回路之间）本地探索随机切换行为，这些循环模仿了一种由基于光流性提取器的蝇眼启发的强大的自我运动算法。具有严重设备可变性和切换不确定性的纳米级设备技术。此外，提出的现场理论方法提供了丰富的数学结构，因此可以扩大当前的数字电路设计理论。最后，所提出的方法可以使人们能够更准确地了解现有的逻辑电路设计方法，尤其是直接应用于超低VDD驱动的将来的设备技术时的局限性。除了通过新的课程和基于硬件的随机逻辑电路仿真传播其研究结果外，该项目还将面临挑战，即从自下而上（公共STEM教育）和自上而下（PHD学生招聘）方向扩大代表性不足的少数群体的工程参与。 PI将创建专门设计的指导和推广计划，以吸引女性，非裔美国人，拉丁美洲裔和第一代大学生加入他的小组，从而为计算行业做准备新的潜水员劳动力。此外，奥兰多科学中心将被用作刺激计算机教育的公共利益的主要平台。通过创新的展览和引人入胜的迷你演讲，这项教育工作的成功将由UCF的计算机工程博士学位以及与奥兰多科学中心的合作展览的合作展览的规模来判断。