CAREER: Maximum-Information Memory System: Theory, Implementation and Application

职业：最大信息存储系统：理论、实现和应用

• 批准号: 1148778
• 负责人: Xin Li
• 金额: $ 40万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1148778&HistoricalAwards=false
• 关键词: CAREER; Maximum; Information; Memory; System

On-chip embedded memory is a critical component in today?s large-scale integrated systems. This project aims to develop a completely new memory design methodology that is referred to as Maximum-Information Memory System (MIMS). The key idea is to maximize the information density (i.e., the number of information bits per unit area) or information efficiency (i.e., the number of information bits per unit power). Towards this goal, a radically new information theoretical framework will be developed with three critical components: (1) an analytical information model to quantitatively measure the number of information bits stored in a given memory system, (2) a number of different circuit implementation options to achieve maximum-information storage, and (3) a comprehensive study of high-level performance metrics (e.g., signal-to-noise ratio) to demonstrate the efficacy of the proposed MIMS system in real-life signal processing applications. The combination of these research efforts would provide a fundamental infrastructure that facilitates next-generation memory design for nanoscale IC technologies.The proposed project offers a fundamentally new view of memory design based on information theory. It is expected to yield significant performance improvement for on-chip memory circuits over a broad range of applications, from consumer electronics (e.g., smart phones) to medical instruments (e.g., implantable medical devices). Hence, successful development of the proposed MIMS framework will have both short-term and long-term impacts on U.S. industry and improve U.S. competitiveness in science and technology. In addition, given its broad coverage of multiple science and engineering fields such as statistics, circuits, etc., the proposed project offers a number of unique education and training opportunities for both university students and industrial engineers. It will substantially improve the education infrastructure and generate high-quality researchers and engineers in related fields.

片上嵌入式内存是当今大规模集成系统的关键组件。该项目旨在开发一种全新的内存设计方法，该方法被称为最大信息记忆系统（MIMS）。关键思想是最大化信息密度（即每个单位区域的信息位数）或信息效率（即，单位功率的信息位数）。要实现这一目标，将开发一个具有三个关键组成部分的根本新信息理论框架：（1）一个分析信息模型，用于定量测量给定存储系统中存储的信息位的数量，（2）许多不同的电路实现选项，以实现最大程度的信息存储，以及（3）对高级绩效计量的全面研究（例如，信号效果）（例如，信号效果），以​​表现出良好的效果，以衡量NO级别的速率，该速率是该效果率，该速率是该效果率，该比率是该效果率（例如，该效果均值），该速度率是效果率，该速度率是构成效果率的效果率（例如，均值均值均值，该速度率是相得到的。现实生活信号处理应用。这些研究工作的结合将提供基本的基础架构，促进纳米级IC技术的下一代内存设计。拟议的项目为基于信息理论提供了基于内存设计的新观点。预计，从消费电子（例如智能手机）到医疗工具（例如，可植入的医疗设备），在广泛的应用中，芯片内存电路的性能会有所改善。因此，拟议的MIMS框架的成功发展将对美国工业产生短期和长期影响，并提高美国在科学技术方面的竞争力。此外，鉴于其对统计，电路等多个科学和工程领域的广泛报道，该项目为大学生和工业工程师提供了许多独特的教育和培训机会。它将大大改善教育基础设施，并在相关领域产生高质量的研究人员和工程师。