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CSR: Small: Collaborative Research: Cross-Layer Design Techniques for Robustness of the Next-Generation Nonvolatile Memories

CSR: Small: Collaborative Research: Cross-Layer Design Techniques for Robustness of the Next-Generation Nonvolatile Memories
CSR:小型:协作研究:下一代非易失性存储器鲁棒性的跨层设计技术
批准号:
1116684
负责人:
Hai Li
金额:
$22.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2013-06-30

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中文摘要
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英文摘要
The objective of the research is to develop design technologies that can alleviate the general robustness issues of the next-generation nonvolatile memories while maintaining and even improving the generic memory specifications such as density, power and performance. Comprehensive solutions are integrated from architecture, circuit and device layers for the improvement on the density, cost and reliability of emerging nonvolatile memories. The design techniques include 1) a new write endurance improvement technique for multi-level cell devices to prolong the lifetime of the new nonvolatile memories by applying the coding and wear-leveling techniques that are monitored and controlled by self-contained circuits; 2) self-reference and other adaptive sensing techniques to overcome the impacts of process variations and device wear-out mechanisms for yield improvement.; and 3) a new interleaved 3D-stacking memory integration scheme and peripheral circuit design to increase the number of stacks integrated within a certain height. The broader impact of the research lies in revealing the importance of applying cross-layer design techniques to resolve the robustness issues of the next-generation NVMs and the attentions to the robust design context. The system architects, the circuit designers and the device integration engineers can be well bridged and educated by the research innovations. The developed techniques can be directly transferred to industry applications under the close collaborations with several industry partners, and directly impact the future computing 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.
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Conference: NSF Workshop on Hardware-Software Co-design for Neuro-Symbolic Computation
  • 批准号:
    2338640
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.98万
  • 财政年份:
    2023
  • 负责人:
    Hai Li
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CCF Core: Small: Hardware/Software Co-Design for Sustainability at the Edge
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    2233808
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
Collaborative Research: CNS Core: Medium: Exploiting Synergies Between Machine-Learning Algorithms and Hardware Heterogeneity for High-Performance and Reliable Manycore Computing
  • 批准号:
    1955196
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2020
  • 负责人:
    Hai Li
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NSF Convergence Accelerator Track D: A Trusted Integrative Model and Data Sharing Platform for Accelerating AI-Driven Health Innovation
  • 批准号:
    2040588
  • 项目类别:
    Standard Grant
  • 资助金额:
    $96.61万
  • 财政年份:
    2020
  • 负责人:
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    2024
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    2022
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  • 批准号:
    31972324
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2019
  • 负责人:
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