Software Susceptibility-Driven Non-Uniform Memory Error Protection

软件敏感性驱动的非一致内存错误保护

基本信息

  • 批准号:
    1255729
  • 负责人:
  • 金额:
    $ 20.7万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-04-01 至 2017-03-31
  • 项目状态:
    已结题

项目摘要

A memory device may exhibit errors due to manufacturing defects, device aging, or particle strikes from cosmic-ray-induced neutrons. Memory errors are an important threat to computer system reliability as semiconductor technologies continue to scale. This project develops a new approach that protects against memory errors non-uniformly by exploiting unequal error susceptibility at different memory regions in a computer system. Collaboration with industry researchers facilitates the integration of developed techniques into real-world memory technologies. Results of this project will contribute to comprehensive computer system reliability that is critical to society and the health of the world's economy. Curriculum enhancement and student training in this project enable advanced human resource development that is necessary for today's and tomorrow's digital workforce.Research and development efforts within this project include four synergistic components: First, this project introduces a new software approach that systematically uncovers important characteristics of memory error propagation and its consequences. Second, research develops new energy-efficient hardware support for flexible, dynamic adjustment of memory error protection on each memory area. Third, this project devises non-uniform memory error protection policies that optimize for reliability and efficiency based on software error susceptibility and hardware protection costs. Finally, the developed error susceptibility assessment and non-uniform protection techniques are evaluated using real application scenarios. Cross-layer (software/hardware) technologies developed in this project enable wide utilization of advanced memory reliability mechanisms without significant loss of performance or energy efficiency.
由于制造缺陷、装置老化或来自宇宙射线感生中子的粒子撞击,存储器装置可展现错误。随着半导体技术的不断扩展,内存错误是计算机系统可靠性的重要威胁。这个项目开发了一种新的方法,通过利用计算机系统中不同内存区域的不平等错误敏感性来防止内存错误。与行业研究人员的合作有助于将开发的技术集成到现实世界的内存技术中。该项目的成果将有助于全面提高计算机系统的可靠性,这对社会和世界经济的健康至关重要。该项目的课程改进和学生培训使先进的人力资源开发成为当今和未来的数字劳动力所必需。该项目的研究和开发工作包括四个协同组成部分:首先,该项目引入了一种新的软件方法,系统地揭示了内存错误传播及其后果的重要特征。第二,研究开发新的节能硬件支持,灵活,动态调整每个内存区域的内存错误保护。第三,这个项目设计了非统一的内存错误保护策略,优化的可靠性和效率的基础上,软件错误的敏感性和硬件保护成本。最后,使用真实的应用场景,开发的错误敏感性评估和非均匀保护技术进行评估。在这个项目中开发的跨层(软件/硬件)技术能够广泛利用先进的内存可靠性机制,而不会显着损失性能或能源效率。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Michael Huang其他文献

An Evaluation of Falls, Syncope, and Dizziness by Prolonged Ambulatory Cardiographic Monitoring in a Geriatric Institutional Setting
在老年机构环境中通过长时间动态心电图监测评估跌倒、晕厥和头晕
1550-nm wavelength-tunable HCG VCSELs
1550 nm 波长可调谐 HCG VCSEL
Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning
Ising-CF:通过高效 Ising 机器学习实现的开创性协同过滤方法
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhuo Liu;Yunan Yang;Zhenyu Pan;Anshujit Sharma;Amit Hasan;Caiwen Ding;Ang Li;Michael Huang;Tong Geng
  • 通讯作者:
    Tong Geng
Reduction in New Onset Diabetes After Transplant (NODAT) with Erythropoietin-Stimulating Agents, a Case Control Study
  • DOI:
    10.1016/j.jcjd.2013.08.133
  • 发表时间:
    2013-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tess Montada-Atin;Diana Choi;Minna Woo;Ravi Retnakaran;Michael Huang;Ramesh Prasad;Jeffrey S. Zaltzman
  • 通讯作者:
    Jeffrey S. Zaltzman
Performing Machine Learning Based Outlier Detection for Automotive Grade Products
对汽车级产品执行基于机器学习的异常值检测
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Y. L. Yang;P. Tsao;C. W. Lin;Ross Lee;Olivia Ni;T. T. Chen;Y. Ting;C. Lai;Jason Yeh;Arnold Yang;Wayne Huang;Peng Chen;Charly Tsai;Ryan Yang;Y. S. Huang;B. Hsu;M. Z. Lee;T. H. Lee;Michael Huang;Coming Chen;L. Chu;H. Kao;N. S. Tsai;Hsinchu Taiwan MediaTek Inc.
  • 通讯作者:
    Hsinchu Taiwan MediaTek Inc.

Michael Huang的其他文献

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{{ truncateString('Michael Huang', 18)}}的其他基金

FET: Small: Increasing Robustness, Efficacy, and Capability of CMOS-Compatible Electronic Ising Machines
FET:小型:提高 CMOS 兼容电子发射机的鲁棒性、效率和能力
  • 批准号:
    2233378
  • 财政年份:
    2023
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Standard Grant
ASCENT: Using Optical Frequency Comb for Ultrafast Nature-Based Computing for Machine Learning Algorithms
ASCENT:使用光学频率梳进行机器学习算法的超快基于自然的计算
  • 批准号:
    2231036
  • 财政年份:
    2022
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Standard Grant
CCF: Medium: Collaborative Research: SHF: Cascode: Supporting and Leveraging Voltage Stacking in Future Microprocessors
CCF:中:协作研究:SHF:共源共栅:支持和利用未来微处理器中的电压堆叠
  • 批准号:
    1514433
  • 财政年份:
    2015
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Standard Grant
XPS: EXPL: CCA: Optical Data Containers
XPS:EXPL:CCA:光学数据容器
  • 批准号:
    1533842
  • 财政年份:
    2015
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Standard Grant
CSR: Small: System Support for SSD-Backed Recoverable Network Applications
CSR:小型:对 SSD 支持的可恢复网络应用程序的系统支持
  • 批准号:
    1217372
  • 财政年份:
    2012
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Standard Grant
CSR: Small: Towards a Co-Designed Latency-Centric On-Chip Communication Substrate
CSR:小:迈向共同设计的以延迟为中心的片上通信基板
  • 批准号:
    1217662
  • 财政年份:
    2012
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Standard Grant
CAREER: Understanding and Exploring Performance-Correctness Explicitly Decoupled Architecture
职业:理解和探索性能正确性显式解耦架构
  • 批准号:
    0747324
  • 财政年份:
    2008
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Continuing Grant
Collaborative Research: SMA: Accurate Temperature Measurement Infrastructure and Methodology for Power, Variability, and Reliability Analysis
合作研究:SMA:用于功率、可变性和可靠性分析的精确温度测量基础设施和方法
  • 批准号:
    0719790
  • 财政年份:
    2007
  • 资助金额:
    $ 20.7万
  • 项目类别:
    Continuing Grant

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Shade tolerance in conifer species influences susceptibility to winter drought via photosynthetic responses
针叶树物种的耐荫性通过光合作用影响对冬季干旱的敏感性
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