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NSF-CGP Fellowship: VLSI Digital Signal Processing and Multimedia Systems

NSF-CGP Fellowship: VLSI Digital Signal Processing and Multimedia Systems
NSF-CGP 奖学金:VLSI 数字信号处理和多媒体系统
批准号:
9600372
负责人:
Keshab Parhi
金额:
$10.48万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-09-01 至 1997-08-31

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中文摘要
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英文摘要
9600372 Parhi This proposal supports the collaboration of Prof. Keshab K. Parhi of the Department of Electrical Engineering at the University of Minnesota and Dr. Takao Nishitani at the NEC Computer and Communication Laboratories of NEC Corporation at Kawasaki. This project funding will support Dr. Parhi to spend nine months with the NEC Corporation in Japan. During his stay, he will perform research on VLSI digital signal processing and multimedia systems. Dr. Parhi has been studying design of high speed and low power circuit and system implementations using VLSI technologies which can be used in multimedia applications such as video compression and graphics manipulation and animation. Dr. Nishitani's group is developing several multimedia products ranging from video compact disc (CD) system design to RISC processors for digital signal processing (DSP) to beamformer for audio applications to video coding and conferencing. Dr. Parhi will combine his expertise on low power and high speed design methodologies with applications and design activities carried out at NEC to study high performance architecture development for multimedia systems. This proposal brings together research scientists from two countries working in the area of VLSI digital signal processing. The U.S. scientist will have the opportunity to learn about algorithms used in and the applications of multimedia systems. This cooperative research will allow Dr. Parhi to bring back expertise with him which can lead to further research after his return leading to several doctoral and master's degrees. Therefore, this proposal fulfills the objectives of the Program in its exchange and transfer of scientific knowledge through an international collaboration. ***
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会议论文
Collaborative Research: SHF: Small: Efficient and Scalable Privacy-Preserving Neural Network Inference based on Ciphertext-Ciphertext Fully Homomorphic Encryption
  • 批准号:
    2243053
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.5万
  • 财政年份:
    2023
  • 负责人:
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  • 依托单位:
Collaborative Research: SHF: Medium: TensorNN: An Algorithm and Hardware Co-design Framework for On-device Deep Neural Network Learning using Low-rank Tensors
  • 批准号:
    1954749
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2020
  • 负责人:
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SHF: Small: Collaborative Research: LDPD-Net: A Framework for Accelerated Architectures for Low-Density Permuted-Diagonal Deep Neural Networks
  • 批准号:
    1814759
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.5万
  • 财政年份:
    2018
  • 负责人:
    Keshab Parhi
  • 依托单位:
EAGER: Low-Energy Architectures for Machine Learning
  • 批准号:
    1749494
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2017
  • 负责人:
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国内基金
海外基金
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  • 批准号:
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  • 项目类别:
    面上项目
  • 资助金额:
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  • 批准年份:
    2021
  • 负责人:
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  • 批准年份:
    2019
  • 负责人:
  • 依托单位:
    --