SHF: Small: System-Theoretic Analysis and Design for Dynamic Stability of Memory Devices in Nanoscale CMOS and Beyond

提案ID：0917204 PI名称：李鹏Inst：德克萨斯工程实验站标题：纳米级CMOS和BeyondAbstra中存储器件的动态稳定性的系统理论分析和设计数据存储对于广泛的电子和生物系统是必不可少的。静态随机存取存储器(SRAM)为许多电子应用提供必要的片上数据存储，包括微处理器、ASIC、DSP和SoC。在开发工程化遗传记忆电路方面也有越来越多的努力，以促进对自然生物体中的细胞现象、细胞控制和生物计算的新理解。这项工作旨在促进对动态稳定性的理解、分析和提高，动态稳定性是半导体SRAM、新出现的忆阻器和生物存储器的关键系统特性。传统的静态SRAM稳定性度量不能捕获内在的动态电路操作，因此其应用受到固有的限制。这项工作通过系统论的方法解决了对半导体和遗传存储器中动态稳定性的严格理解的需要。将利用非线性系统理论来构建新的动态噪声裕度概念和设计指标，具有理论严谨性和设计洞察力。将开发新的系统理论驱动的数值算法，以促进分析和优化，并显著提高效率。这项工作将促进纳米级计算系统的设计以及合成基因调控网络的发展。跨学科探索将为解决具有实际意义的研究问题提供新的机会，并为学生提供教育机会。PIS将促进本科生和代表不足群体的学生参与研究，并参与高中教师充实计划。研究成果将被整合到本科和研究生课程中，并在研究界和主要半导体公司中传播。

Proposal ID: 0917204 Pi name: Li Peng Inst: Texas Engineering Experiment Station Title: System-Theoretic Analysis and Design for Dynamic Stability of Memory Devices in Nanoscale CMOS and BeyondAbstractData storage is essential to a broad range of electronic and biological systems. Static random access memories (SRAMs) provide essential on-chip data storage for many electronic applications including microprocessors, ASICs, DSPs and SoCs. There also exists a growing effort in developing engineered genetic memory circuits to facilitate new understanding of cellular phenomena in natural organisms, cellular control and biocomputing. This work intends to facilitate the understanding, analysis and enhancement of dynamic stability, a key system property, for semiconductor SRAMs, emerging memristor and biological memories. Conventional static SRAM stability metrics are unable to capture intrinsic dynamic circuit operations and hence inherently limited in their applications. This work addresses the need for a rigorous understanding of dynamic stability in semiconductor and genetic memories via a system-theoretic approach. Nonlinear system theory will be exploited to construct new dynamic noise margin concepts and design metrics with theoretic rigor and design insights. Novel system theoretically motivated numerical algorithms will be developed to facilitate analysis and optimization with significantly improved efficiency. This work will facilitate the design of nanoscale computing systems as well as the development of synthetic gene-regulatory networks. Interdisciplinary explorations will provide new opportunities for solving research problems of practical significance and offer educational opportunities to students. The PIs will promote the research participation from undergraduate students and students from underrepresented groups and engage in high-school teacher enrichment programs. The research outcomes will be integrated into undergraduate and graduate curriculum and disseminated in the research community and major semiconductor companies.