SHF: Small: Virtual Probe: A Statistically Optimal Framework for Affordable Monitoring and Tuning of Large-Scale Digital Integrated Circuits

SHF：小型：虚拟探针：经济实惠的大规模数字集成电路监控和调谐的统计最佳框架

• 批准号: 0915912
• 负责人: Xin Li
• 金额: $ 45万
• 依托单位: Carnegie-Mellon 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: 2009-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0915912&HistoricalAwards=false
• 关键词: SHF; Small; Virtual; Probe; Statistically

ID: 0915912Title: Virtual Probe: A Statistically Optimal Framework for Affordable Monitoring and Tuning of Large-Scale Digital Integrated CircuitsPI: Xin Li and Rob Rutenbar, Carnegie Mellon UniversityAbstractOn-chip variability monitoring and post-silicon tuning have emerged as a joint-strategy to combat the deleterious effects of nanoscale process variations, to maintain the aggressive scaling of integrated circuits (ICs). However, the design overhead (e.g., die area, power consumption, etc.) of these new techniques is a growing problem as devices continue to shrink, and the relative magnitude of critical process fluctuations continues to grow. This project proposes to develop a novel statistical framework called virtual probe (VP) to minimize the overhead of variability monitoring and post-silicon tuning. VP accurately predicts full-chip spatial variation from the smallest possible set of measurement data, thereby enabling lowest-cost / highest-accuracy silicon testing, characterization and tuning as IC technologies move further into the nanoscale regime.The proposed project aims to create a radically improved platform for on-chip statistical monitoring and tuning of large-scale digital ICs; it is expected to yield 5-10 times performance improvement for advanced ICs in a broad range of applications, from consumer electronics to aerospace controllers. In addition, the proposed mathematical framework is applicable to many other scientific and engineering problems and, hence, offers a new avenue to study and understand these. Finally, given its broad coverage over multiple research areas, the proposed project motivates close collaboration among statistician, computer scientists and circuit designers, thereby creating enormous opportunities for interdisciplinary innovations. The interdisciplinary nature of this project also offers an excellent opportunity to train the next generation of U.S. researchers in multiple science and engineering domains.

身份证号：0915912标题：虚拟探头：大规模数字集成电路经济实惠的监控和调谐的统计最佳框架PI：Xin Li和Rob Rutenbar，卡内基梅隆大学摘要片上变化性监控和硅后调谐已成为一种联合策略，以对抗纳米级工艺变化的有害影响，以保持集成电路（IC）的积极扩展。然而，设计开销（例如，管芯面积、功耗等）随着器件的不断缩小，以及关键工艺波动的相对幅度不断增大，这些新技术的不稳定性是一个日益严重的问题。该项目提出开发一种称为虚拟探针（VP）的新型统计框架，以最大限度地减少可变性监控和硅后调整的开销。VP从最小的测量数据集准确地预测全芯片的空间变化，从而实现最低成本/最高精度的硅测试，表征和调整，随着集成电路技术进一步进入纳米级范围。拟议项目旨在创建一个从根本上改进的平台，用于片上统计监测和调整大规模数字集成电路;对于从消费电子到航空航天控制器的广泛应用中的高级IC，其预期将产生5-10倍的性能改进。此外，建议的数学框架适用于许多其他科学和工程问题，因此，提供了一个新的途径来研究和理解这些。最后，鉴于其广泛的覆盖面在多个研究领域，拟议的项目激励统计学家，计算机科学家和电路设计师之间的密切合作，从而创造跨学科创新的巨大机会。该项目的跨学科性质也为培养下一代美国研究人员提供了极好的机会。