CSR: Medium: Collaborative Research: On Closed-Loop and Cross-Layer Design and Implementation of Data Storage Systems Utilizing Extremely Scaled NAND Flash Memory Technologies

CSR:中:协作研究:利用超大规模 NAND 闪存技术的数据存储系统的闭环和跨层设计与实现

基本信息

  • 批准号:
    1162152
  • 负责人:
  • 金额:
    $ 20.5万
  • 依托单位:
  • 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:
    2012-07-01 至 2014-12-31
  • 项目状态:
    已结题

项目摘要

This project is developing efficient solid-state data storage device and system design solutions. Although solid-state data storage has shown a high potential to significantly advance storage systems to achieve ultra-high performance with low energy consumption, continuous semiconductor technology scaling makes it increasingly challenging to realize efficient and reliable solid-state data storage devices and systems for the storage hierarchy in large-scale systems, such as data centers and cloud systems. The intellectual merit of this proposal lies in the theme of developing solid-state data storage design techniques from both software and hardware. Major solid-state data storage device architecture functions, including error correction coding, wear-leveling and garbage collection algorithms, are being developed. Workload and device-aware solid-state data storage system design solutions are also being developed for large data center applications. Design solutions will be evaluated using an experimental hardware platform and the Linux operating system. The broader impact of the proposed research is that it will enable the development of highly reliable and low-cost solid-state data storage devices and systems for large-scale computing and storage systems. The adoption of the design methodology by solid-state data storage architects, system designers, and data-intensive practitioners may provide a direct benefit to this strategically important high technology sector critical to the economic health of the nation. This team will also introduce new research results into courses.
该项目正在开发高效的固态数据存储设备和系统设计解决方案。尽管固态数据存储已经显示出极大的潜力来大幅提升存储系统,以实现低能耗的超高性能,但不断的半导体技术规模使得为数据中心和云系统等大规模系统的存储层次实现高效可靠的固态数据存储设备和系统变得越来越具有挑战性。这一提议的智力价值在于从软件和硬件两个方面开发固态数据存储设计技术的主题。正在开发主要的固态数据存储设备架构功能,包括纠错编码、损耗均衡和垃圾收集算法。还在为大型数据中心应用开发工作负载和设备感知型固态数据存储系统设计解决方案。设计方案将使用实验硬件平台和Linux操作系统进行评估。拟议研究的更广泛影响是,它将使为大规模计算和存储系统开发高度可靠和低成本的固态数据存储设备和系统成为可能。固态数据存储架构师、系统设计师和数据密集型从业者采用这种设计方法,可能会为这个对国家经济健康至关重要的具有重要战略意义的高科技行业带来直接好处。该团队还将在课程中引入新的研究成果。

项目成果

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Tong Zhang其他文献

Interactive visual analytics of moving passenger flocks using massive smart card data
使用大量智能卡数据对移动旅客群进行交互式视觉分析
Stacked Broad Learning System: From Incremental Flatted Structure to Deep Model
堆叠式广义学习系统:从增量扁平化结构到深度模型
Application of A Priori Map in Dynamic Background Removal for Indoor Human Perception Using a Thermopile Array
先验图在使用热电堆阵列的室内人体感知动态背景去除中的应用
  • DOI:
    10.1109/jsen.2021.3130199
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Tong Zhang;Bo Yang;Nanhao Gu
  • 通讯作者:
    Nanhao Gu
Simultaneous enhancement of performance and insensitivity to active layer thickness for OPVs by functionalizing π-spacer's side chain
通过功能化 pi-spacer 的侧链,同时增强 OPV 的性能和对活性层厚度的不敏感性
  • DOI:
    10.1039/c6py00920d
  • 发表时间:
    2016-08
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Dalei Yang;Tong Zhang;Guang Zeng;Zidong Li;Yumeng Tian;Fagui He;Jidong Zhang;Xiaoli Zhao;Xiaoniu Yang
  • 通讯作者:
    Xiaoniu Yang
Role of the Cyclic AMP Response Element Binding Complex and Activation of Mitogen-Activated Protein Kinases in Synergistic Activation of the Glycoprotein Hormone α Subunit Gene by Epidermal Growth Factor and Forskolin
表皮生长因子和毛喉素协同激活糖蛋白激素 α 亚基基因中环 AMP 响应元件结合复合物和丝裂原激活蛋白激酶激活的作用
  • DOI:
  • 发表时间:
    2000
  • 期刊:
  • 影响因子:
    5.3
  • 作者:
    M. Roberson;Makiko Ban;Tong Zhang;J. M. Mulvaney
  • 通讯作者:
    J. M. Mulvaney

Tong Zhang的其他文献

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{{ truncateString('Tong Zhang', 18)}}的其他基金

Collaborative Research: SHF: Medium: Hardware and Software Support for Memory-Centric Computing Systems
协作研究:SHF:中:以内存为中心的计算系统的硬件和软件支持
  • 批准号:
    2312508
  • 财政年份:
    2023
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Continuing Grant
Collaborative Research: SHF: Medium: A New Direction of Research and Development to Fulfill the Promise of Computational Storage
合作研究:SHF:Medium:实现计算存储承诺的研发新方向
  • 批准号:
    2210754
  • 财政年份:
    2022
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Continuing Grant
CNS Core:Small: Re-thinking the Design of Data Management Software Upon the Arrival of SSDs with Built-in Transparent Compression
CNS Core:小:内置透明压缩的 SSD 到来后重新思考数据管理软件的设计
  • 批准号:
    2006617
  • 财政年份:
    2020
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Standard Grant
CSR: Small: Software-defied HDDs: A System-centric Design Framework to Minimize Data Storage Cost for Data Centers
CSR:小型:软件定义的 HDD:以系统为中心的设计框架,可最大限度地降低数据中心的数据存储成本
  • 批准号:
    1814890
  • 财政年份:
    2018
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Standard Grant
XPS: FULL: Collaborative Research: Maximizing the Performance Potential and Reliability of Flash-based Solid State Devices for Future Storage Systems
XPS:完整:协作研究:最大限度地提高未来存储系统基于闪存的固态设备的性能潜力和可靠性
  • 批准号:
    1629218
  • 财政年份:
    2016
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Standard Grant
XPS: EXPL: Exploring the Design Space of Augmented Memory Controllers with Native Support for In-Memory Data Storage
XPS:EXPL:探索具有内存数据存储本机支持的增强型内存控制器的设计空间
  • 批准号:
    1629201
  • 财政年份:
    2016
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Redesigning Video Streaming Infrastructure to Systematically Reduce Mobile Device Video Display Energy Consumption in the Video-rich Era
合作研究:重新设计视频流基础设施,系统地降低视频丰富时代的移动设备视频显示能耗
  • 批准号:
    1406154
  • 财政年份:
    2014
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Eliminating the Energy Efficiency Barrier of Reconfigurable Architectures for Diverse Signal Processing in Mobile Devices
合作研究:消除移动设备中多样化信号处理的可重构架构的能效障碍
  • 批准号:
    1201877
  • 财政年份:
    2012
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Cross-Layer and Unified Signal Processing System Design for Ultra-High-Capacity Next-Generation Magnetic Storage
合作研究:超高容量下一代磁存储的跨层和统一信号处理系统设计
  • 批准号:
    1128148
  • 财政年份:
    2011
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Continuing Grant
High Dimensional Statistical Theory for Sparse Regularization
稀疏正则化的高维统计理论
  • 批准号:
    1007527
  • 财政年份:
    2010
  • 资助金额:
    $ 20.5万
  • 项目类别:
    Continuing Grant

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