课题基金 / 基金详情

Low-power and high-performance circuit modules for digital signal processing, wireless communications and deep learning

Low-power and high-performance circuit modules for digital signal processing, wireless communications and deep learning
用于数字信号处理、无线通信和深度学习的低功耗高性能电路模块
批准号:
561173-2020
负责人:
Han, Jie
金额:
$3.64万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
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英文摘要
This project directly addresses the challenges in the next generations of digital circuits and systems, namely, the requirements for high energy efficiency and superior performance, by developing low-power and high-performance hardware modules as intellectual property (IP) cores. The target applications include digital signal processing (DSP), 5G communication networks, and artificial intelligence systems. To achieve this goal, the project will exploit the results of recent scientific research and advance the promising discoveries to the development of working demonstrations of circuit modules. This development will significantly advance the Technology Readiness Level (from 2 to 4) and provide a solid basis for future commercialization. This project also provides an outstanding training environment for HQP. The gained training will equip HQP with important and critical technical skills, as well as professional skills including communication, collaboration, leadership and entrepreneurship toward the objective of commercialization. Equity, diversity and inclusion (EDI) are our top considerations in the team composition and training process. People from all identities and backgrounds are encouraged to join this project. In our team, everyone is equitably treated with respect and offered equal opportunities, regardless of sex, gender, nationality and other identity factors. The outcomes of this project will help bridge the gap between the conventional Information and Communications Technology (ICT) industry and emerging industries such as 5G communications, multimedia, and artificial intelligence. The achievement of the project goal will lead to more environmentally friendly ICT systems and help resolve key challenges in reducing the carbon footprint in the ICT industry. It will also help create job opportunities, foster the ICT industry in Alberta and Canada in emerging technologies. As a key milestone on the commercialization path, the completion of the proposed developments in this project will potentially have a profound impact on the long-term growth of the economy and will be of significant social and environmental importance to Alberta and Canada.
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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:
    2022
  • 负责人:
    Han, Jie
  • 依托单位:
Efficient computing systems for deep learning and combinatorial optimization
  • 批准号:
    552712-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $4.66万
  • 财政年份:
    2021
  • 负责人:
    Han, Jie
  • 依托单位:
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:
    Han, Jie
  • 依托单位:
Low-power and high-performance circuit modules for digital signal processing, wireless communications and deep learning
  • 批准号:
    561173-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2021
  • 负责人:
    Han, Jie
  • 依托单位:
国内基金
海外基金
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  • 批准号:
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  • 项目类别:
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  • 负责人:
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  • 依托单位:
多约束Power图快速计算算法研究
  • 批准号:
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  • 项目类别:
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  • 负责人:
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网格曲面上质心Power图的快速计算及应用
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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