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ITR: Ultra High Density Computer Interconnect

ITR: Ultra High Density Computer Interconnect
ITR:超高密度计算机互连
批准号:
0219567
负责人:
Paul Franzon
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-09-01 至 2008-08-31

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中文摘要
翻译
已经确定了一种技术,可以实现超高密度的电子封装连接:芯片到封装;封装到插座;和板对板(连接器)。这种被称为“交流耦合互连”的方法有可能大幅增加电子封装所有层连接的功能密度,并允许引脚数继续扩展。这项技术将使微处理器芯片拥有数千个引脚,而不是现在的数百个。它将允许连接器和插座也支持数千个引脚。这将导致更快的计算机,网络系统等。中心论点是,这一努力取决于这样一种认识,即数字信号的直流部分不携带信息,非接触交流连接可以比直流连接构建得更密集、更简单。一组非接触结构本身比一组接触结构更致密、更柔顺、机械更坚固。通过只在需要直流电流传输的地方施加直接接触,这种方法将允许实现非常高密度的互连,并减轻其他高密度互连技术中遇到的合规性和返工问题。交流连接可以是电感式、电容式或两者的组合。
英文摘要
A technique has been identified that will enable ultra high-density electronic packaging connectivity: chip to package; package to socket; and board to board (connector). Named "AC coupled interconnect", this approach has the potential to enable a massive increase in the functional density of connections across all layers of electronic packaging and permit pin counts to continue scaling. This technique will allow microprocessor chips to have thousands of pins, instead of the hundreds enabled today. It will allow connectors and sockets to also support thousands of pins. This will lead to faster computers, networking systems, etc.The central thesis is this effort hinges on the recognition that the DC component of a digital signal carries no information, and that non-contacting AC connections can be built a lot denser and simpler than DC connections. An array of non-contacting structures is inherently denser, more compliant and more mechanically robust than an array of contacting structures. By imposing direct contacts only where DC current transfers are needed, this approach will allow very high density interconnects to be realized and alleviate the compliance and rework problems encountered in other high density interconnect technologies. The AC connections can be inductive, capacitive, or a combination of the two.
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PFI-TT: Embedded Radio Frequency Identification (RFID) to secure the semiconductor supply chain
  • 批准号:
    2141176
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.98万
  • 财政年份:
    2022
  • 负责人:
    Paul Franzon
  • 依托单位:
IUCRC Phase II North Carolina State University: Center for Advanced Electronics through Machine Learning [CAEML]
  • 批准号:
    2137283
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2022
  • 负责人:
    Paul Franzon
  • 依托单位:
I/UCRC: Phase I: for Advanced Electronics through Machine Learning (CAEML)
  • 批准号:
    1624770
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $75.0万
  • 财政年份:
    2016
  • 负责人:
    Paul Franzon
  • 依托单位:
Collaborative Research: Planning Grant: I/UCRC for Advanced Electronics through Machine Learning
  • 批准号:
    1464632
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.15万
  • 财政年份:
    2015
  • 负责人:
    Paul Franzon
  • 依托单位:
国内基金
海外基金
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  • 批准号:
    31471690
  • 项目类别:
    面上项目
  • 资助金额:
    90.0万元
  • 批准年份:
    2014
  • 负责人:
    王永华
  • 依托单位:
适应纳米尺度CMOS集成电路DFM的ULTRA模型完善和偏差模拟技术研究
  • 批准号:
    60976066
  • 项目类别:
    面上项目
  • 资助金额:
    41.0万元
  • 批准年份:
    2009
  • 负责人:
    何进
  • 依托单位: