Lee-Sup Kim

Lee-Sup Kim

Korea Advanced Institute of Science and Technology

Professor

School of Electrical Engineering

Research Area

  • #Computer science
  • #Electronic engineering
  • #CMOS
  • #Jitter
  • #Dram
  • #Computer hardware
  • #Chip
  • #Embedded system
  • #Communication channel
  • #Bandwidth (signal processing)

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Contact information

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Related papers to
‘ Computer science ‘ : 26

  • Energy-Efficient Design of Processing Element for Convolutional Neural Network

    2017/04

    2.5 Impact Factor

    14 citations

    Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Min-Hye Kim, Lee-Sup Kim

    DOI : 10.1109/TCSII.2017.2691771

    • #Computer science
    • #Electronic engineering
    • #Computer engineering
    • #Artificial neural network
    • #Efficient energy use
    • #Kernel (linear algebra)
    • #Convolutional neural network
    • #Algorithm design
    • #Dram
    • #External Data Representation
    • #Encoding (memory)

All papers authored by
‘ Lee-Sup Kim ’ : 34

  • A 21-Gbit/s 1.63-pJ/bit Adaptive CTLE and One-Tap DFE With Single Loop Spectrum Balancing Method

    2016/02
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

    1.7 Impact Factor

    16 citations

    Yong-Hun Kim, Young-Ju Kim, Tae-Ho Lee, Lee-Sup Kim

    DOI : 10.1109/TVLSI.2015.2418579

    • #Engineering
    • #Electronic engineering
    • #Electronic circuit
    • #Chip
    • #CMOS
    • #Power consumption
    • #Single loop
    • #Gigabit
    • #Equalizer
    • #Adaptive equalizer

Related papers to
‘ Computer science ‘ : 26

  • Energy-Efficient Design of Processing Element for Convolutional Neural Network

    2017/04
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

    2.5 Impact Factor

    14 citations

    Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Min-Hye Kim, Lee-Sup Kim

    DOI : 10.1109/TCSII.2017.2691771

    • #Computer science
    • #Electronic engineering
    • #Computer engineering
    • #Artificial neural network
    • #Efficient energy use
    • #Kernel (linear algebra)
    • #Convolutional neural network
    • #Algorithm design
    • #Dram
    • #External Data Representation
    • #Encoding (memory)
  • A 5-Gb/s Digital Clock and Data Recovery Circuit With Reduced DCO Supply Noise Sensitivity Utilizing Coupling Network

    2017/01
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

    1.7 Impact Factor

    9 citations

    Tae-Ho Lee, Yong-Hun Kim, Lee-Sup Kim

    DOI : 10.1109/TVLSI.2016.2566927

    • #Computer science
    • #Electrical engineering
    • #Electronic engineering
    • #Coupling
    • #Jitter
    • #Digital clock
    • #Capacitor
    • #Resistor
    • #Biasing
    • #Pseudorandom binary sequence
    • #Digitally controlled oscillator

Get access to
Contact information

Log in

All papers authored by
‘ Lee-Sup Kim ’ : 34

  • A 21-Gbit/s 1.63-pJ/bit Adaptive CTLE and One-Tap DFE With Single Loop Spectrum Balancing Method

    2016/02
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

    1.7 Impact Factor

    16 citations

    Yong-Hun Kim, Young-Ju Kim, Tae-Ho Lee, Lee-Sup Kim

    DOI : 10.1109/TVLSI.2015.2418579

    • #Engineering
    • #Electronic engineering
    • #Electronic circuit
    • #Chip
    • #CMOS
    • #Power consumption
    • #Single loop
    • #Gigabit
    • #Equalizer
    • #Adaptive equalizer
  • Energy-Efficient Design of Processing Element for Convolutional Neural Network

    2017/04
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

    2.5 Impact Factor

    14 citations

    Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Min-Hye Kim, Lee-Sup Kim

    DOI : 10.1109/TCSII.2017.2691771

    • #Computer science
    • #Electronic engineering
    • #Computer engineering
    • #Artificial neural network
    • #Efficient energy use
    • #Kernel (linear algebra)
    • #Convolutional neural network
    • #Algorithm design
    • #Dram
    • #External Data Representation
    • #Encoding (memory)

Get access to Contact information

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