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Architecture Design Methodologies for Embedded Communications Terminals

Architecture Design Methodologies for Embedded Communications Terminals
嵌入式通信终端的架构设计方法
批准号:
0305941
负责人:
Keshab Parhi
金额:
$15.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-08-01 至 2005-07-31

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中文摘要
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英文摘要
Demand for broadband access anytime anywhere continues to grow. While it is important to reduce to power consumption in personal terminals, it is equally important to reduce silicon cost in applications such as settop boxes, DSL modems in central office or a wireless base stations. This proposal addresses low-power and/or low-cost implementations of a number of key building blocks which are common to many personal or central embedded communications terminals. Iterative decoders have found wide applications in wireless terminals, wireless infrastructure, satellite communications, etc. Recently, low-density parity check (LDPC) coders are receiving much attention due to their computation simplicity in every iteration, and ability to parallelize. These codes do not suffer from the error floor problem and are well suited for applications such as optical transmission and disk drives. Earlier work on parallel turbo decoder architectures will be extended to address efficient memory arbitration and memory management issues, and to reduce power consumption by appropriate parallelism level and memory selections. There is also interest in design of a new class of parallel turbo coders which can lend itself well for parallel implementations. In earlier work on LDPC coders, a new (3,k)-regular LDPC code which lends itself well for a partly-parallel implementations was demonstrated. The proposed effort will build upon this past work to generate more general LDPC coders. The desire to accommodate varying rates, varying frame sizes demands the generalization or construction otherwise of (j,k)-regular LDPC coders which can be implemented in partly-parallel manner. Placement and routing issues in these coders and memory size reduction issues will be addressed. The intellectual merit of this proposal lies in the unique ability to jointly consider algorithm and architectural issues to reduce power consumption of many components of broadband systems. Algorithm and architectural level power reduction can result in dramatic cost and power savings. The proposed effort will have an impact in various applications such as satellite communications, optical communications, storage devices, personal video recorders, settop boxes, wireless base stations and cell phones. The broader impacts will be far reaching. This research will pave the way for use of these technologies in industrial products. It will make an impact through research training of students working on this project, but the impact will be even greater through graduate education by transferring these research results to new or existing graduate classes.
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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
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    Keshab Parhi
  • 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:
    Keshab Parhi
  • 依托单位:
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
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    2018
  • 负责人:
    Keshab Parhi
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EAGER: Low-Energy Architectures for Machine Learning
  • 批准号:
    1749494
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.5万
  • 财政年份:
    2017
  • 负责人:
    Keshab Parhi
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  • 批准号:
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