CAREER: Maximum-Information Memory System: Theory, Implementation and Application
CAREER: Maximum-Information Memory System: Theory, Implementation and Application
批准号:
1148778
负责人:
Xin Li
金额:
$40.0万
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
项目状态:
已结题
起止时间:
2012-01-01 至 2016-12-31
中文摘要
片上嵌入式存储器是当今的一个重要组成部分。S大型集成系统。本项目旨在开发一种全新的存储器设计方法,称为最大信息存储器系统(MIMS)。关键思想是最大化信息密度(即每单位面积的信息比特数)或信息效率(即每单位功率的信息比特数)。为了实现这一目标,将开发一个全新的信息理论框架,其中包括三个关键部分:(1)定量测量给定存储系统中存储的信息比特数的分析信息模型,(2)实现最大信息存储的许多不同电路实现选项,以及(3)对高级性能指标(例如信噪比)的全面研究,以证明所提出的MIMS系统在实际信号处理应用中的有效性。这些研究成果的结合将为纳米级集成电路技术的下一代存储器设计提供基础设施。提出的项目提供了一种基于信息论的存储器设计的全新观点。它有望在从消费电子产品(如智能手机)到医疗器械(如植入式医疗设备)的广泛应用中显著提高片上存储电路的性能。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的影响,并提高美国在科学和技术方面的竞争力。此外,由于该项目涵盖多个科学和工程领域,如统计、电路等,拟议的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,并在相关领域培养高素质的研究人员和工程师。
英文摘要
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.
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批准号:2318758
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资助金额:$20.0万
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财政年份:2023
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批准号:2348046
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资助金额:$20.0万
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批准号:2401398
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批准号:2127575
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批准号:2114644
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项目类别:Standard Grant
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资助金额:$50.0万
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批准号:1945230
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项目类别:Continuing Grant
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资助金额:$63.33万
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批准号:1845349
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项目类别:Continuing Grant
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资助金额:$50.0万
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负责人:Xin Li
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资助金额:$35.0万
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负责人:Xin Li
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批准号:1604150
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项目类别:Standard Grant
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资助金额:$35.0万
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C*-algebras of semigroups and dynamical systems
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依托单位:
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项目类别:Standard Grant
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财政年份:2015
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批准号:1316363
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依托单位:
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依托单位:
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项目类别:Continuing Grant
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From Compressed Sensing to Collective Sensing: a Complex Network Approach
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海外基金