Collaborative Research: SMURFS: Statistical Modeling, SimUlation and Robust Design Techniques For MemriStors

蓝精灵：MemriStorsAbstra的统计建模、仿真和稳健设计技术第四种基本无源电路元件&#8722；忆阻器在海量数据存储、神经形态计算、信号处理、生物医学芯片实验室、传感等方面显示出巨大的潜力。本研究的目的是研究工艺变化和环境波动对基于忆阻器的VLSI系统的设计影响，开发一种快速的统计模拟技术，并探索新的电路技术，以提高记忆系统的可靠性和健壮性。智能优点：本研究包括三个集成部分：(1)建立具有代表性的忆阻器技术的统计器件模型，即二氧化钛薄膜和自旋电子管，以便于工艺变化感知的设计空间探索；(2)为基于忆阻器的VLSI系统设计和仿真开发快速蒙特卡罗仿真平台；(3)利用统计忆阻器模型和仿真平台，研究能够最大限度地减少工艺变化引起的电学特性波动的稳健电路设计技术。器件工程师和电路设计师通过研究创新很好地沟通和教育了他们。在与业界领先合作伙伴的密切合作下，所开发的技术可以直接转化为行业应用，并直接影响未来基于忆阻器的VLSI系统。协作中的活动还包括在各主要会议上就项目的技术方面和新课程的开发提供指导。

SMURFS: Statistical Modeling, SimUlation and Robust Design Techniques For MemriStorsAbstractThe fourth fundamental passive circuit element − memristor, has demonstrated great potentials in massive data storage, neuromorphic computing, signal processing, biomedical lab-on-a-chip, sensing etc. The objective of this research is to investigate the design implications of process variations and environmental fluctuations to memristor-based VLSI systems, to exploit a fast statistical simulation technique, and to explore new circuit techniques to improve the memristive system reliability and robustness.Intellectual Merit: This research includes three integrated components: (1) The statistical device models for representative memristor technologies, i.e., the TiO2 thin-film and spintronic memristors, will be developed to facilitate the process variation aware design space explorations; (2) The fast Monte-Carlo simulation platform will be developed for memristor-based VLSI system designs and simulations; (3) By leveraging the statistical memristor models and simulation platform, robust circuit design techniques that can minimize the fluctuations of the electrical properties caused by process variations will be investigated.Broader Impacts: This research provides a comprehensive design package for efficiently integrating memristor into existing VLSI systems to offer better performance and power consumption. The device engineers and the circuit designers are well bridged and educated by the research innovations. The developed techniques can be directly transferred to industry applications under the close collaborations with leading industry partners, and directly impact the future memristor-based VLSI systems. The activities in the collaboration also include the tutorials in the major conferences on the technical aspects of the projects and new course development.