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Toward innovative, robust, energy-efficient and probabilistic circuit and system architectures based on nanoscale devices

Toward innovative, robust, energy-efficient and probabilistic circuit and system architectures based on nanoscale devices
迈向基于纳米级器件的创新、稳健、节能和概率电路和系统架构
批准号：
386722-2010
负责人：
Han, Jie
金额：
$1.68万
依托单位：
University of Alberta
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2013
资助国家：
加拿大
项目状态：
已结题
起止时间：
2013-01-01 至 2014-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=529035
关键词：
Towardinnovativerobustenergyefficient

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中文摘要
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英文摘要
In the past decades, computers have been getting cheaper and at the same time more powerful. This is due to the continuous shrinking of electronic devices, so that more and more components can be packed into a single chip with a relatively low cost. However, this scaling trend is not endless and is predicted to be soon hitting a brick wall. In the nanometer (one billionth of a meter) regime, where the current silicon technology has reached, both silicon and other nanometer-scale (or nanotechnology) devices start to have problems such as poor reliabilities, high error rates and high power consumption. These new characteristics of nanoscale devices challenge the traditional thinking about how computers are made.
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Approximate and Stochastic Computing Systems
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    RGPIN-2020-06572
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
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  • 财政年份：
    2022
  • 负责人：
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    University of Alberta
Efficient computing systems for deep learning and combinatorial optimization
  • 批准号：
    552712-2020
  • 项目类别：
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  • 财政年份：
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  • 负责人：
    Han, Jie
  • 依托单位：
    University of Alberta
Approximate and Stochastic Computing Systems
  • 批准号：
    RGPIN-2020-06572
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.4万
  • 财政年份：
    2021
  • 负责人：
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  • 依托单位：
    University of Alberta
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  • 批准号：
    561173-2020
  • 项目类别：
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  • 财政年份：
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  • 负责人：
    Han, Jie
  • 依托单位：
    University of Alberta
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