II-NEW: Infrastructure to Collect and Analyze Circuit Variability in FPGAs

II-新：收集和分析 FPGA 中电路变异性的基础设施

• 批准号: 0855095
• 负责人: Patrick Schaumont
• 金额: $ 11.88万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855095&HistoricalAwards=false
• 关键词: II; NEW; Infrastructure; Collect; Analyze

Identical designs of electronic circuits in deep-submicron technology show small parameter variations among different instances implemented on a die or in between dies. The resulting circuit variations have a strong impact on the quality of the design. This project plans to create an infrastructure for characterizing the circuit variability on a large population of Field Programmable Gate Array devices. The proposed infrastructure includes a small population of FPGA kits, as well as a web-based data-collection setup to support variability-experiments on hundreds of FPGAs at the same time, in collaboration with undergraduate students. The project will drive research into innovative applications of circuit variability, in particular into physically unclonable functions (PUF). In addition, a unique education opportunity is created to teach undergraduate students about the impact of variability on their design by making them participate in the experimental data collection. The proposed infrastructure will not only significantly enhance the PI's research in trustworthy circuit design, but also provide valuable variability data for the broader research community.

深色技术中电子电路的相同设计表明，在模具上或在模具之间实现的不同实例之间的参数变化很小。最终的电路变化对设计质量有很大的影响。该项目计划创建一个基础架构，以表征大量现场可编程栅极阵列设备的电路变异性。拟议的基础架构包括少数FPGA套件，以及基于Web的数据收集设置，以同时与本科生合作，同时支持数百个FPGA的可变性。该项目将推动对电路变异性的创新应用的研究，尤其是在物理上不可吻合的功能（PUF）中。此外，创建了独特的教育机会，以通过使他们参与实验数据收集来教授本科生的可变性对设计的影响。拟议的基础设施不仅将显着增强PI在值得信赖的电路设计方面的研究，而且还为更广泛的研究社区提供了有价值的可变性数据。