Minsoo Rhu

Minsoo Rhu

Korea Advanced Institute of Science and Technology

Assistant Professor

School of Electrical Engineering

Research Area

  • #Deep learning
  • #Computer architecture
  • #Computer science
  • #Bandwidth (signal processing)
  • #Artificial intelligence
  • #Memory management
  • #Virtualization
  • #Systems architecture
  • #Speedup
  • #Parallel computing

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Related papers to
‘ Deep learning ‘ : 2

  • A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks

    2018/07

    1.1 Impact Factor

    15 citations

    Youngeun Kwon, Minsoo Rhu

    DOI : 10.1109/LCA.2018.2823302

    • #Computer science
    • #Artificial intelligence
    • #Parallel computing
    • #Computer architecture
    • #Artificial neural network
    • #Bandwidth (signal processing)
    • #Speedup
    • #Bottleneck
    • #Deep learning
    • #Systems architecture
    • #Virtualization
    • #Hardware acceleration

All papers authored by
‘ Minsoo Rhu ’ : 2

  • A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks

    2018/07
    IEEE COMPUTER ARCHITECTURE LETTERS

    1.1 Impact Factor

    15 citations

    Youngeun Kwon, Minsoo Rhu

    DOI : 10.1109/LCA.2018.2823302

    • #Computer science
    • #Artificial intelligence
    • #Parallel computing
    • #Computer architecture
    • #Artificial neural network
    • #Bandwidth (signal processing)
    • #Speedup
    • #Bottleneck
    • #Deep learning
    • #Systems architecture
    • #Virtualization
    • #Hardware acceleration

Related papers to
‘ Deep learning ‘ : 2

  • A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks

    2018/07
    IEEE COMPUTER ARCHITECTURE LETTERS

    1.1 Impact Factor

    15 citations

    Youngeun Kwon, Minsoo Rhu

    DOI : 10.1109/LCA.2018.2823302

    • #Computer science
    • #Artificial intelligence
    • #Parallel computing
    • #Computer architecture
    • #Artificial neural network
    • #Bandwidth (signal processing)
    • #Speedup
    • #Bottleneck
    • #Deep learning
    • #Systems architecture
    • #Virtualization
    • #Hardware acceleration
  • A Disaggregated Memory System for Deep Learning

    2019/09
    IEEE MICRO

    3.2 Impact Factor

    10 citations

    Youngeun Kwon, Minsoo Rhu

    DOI : 10.1109/MM.2019.2929165

    • #Computer science
    • #Artificial intelligence
    • #Computer architecture
    • #Bandwidth (signal processing)
    • #Deep learning
    • #Memory management

Get access to
Contact information

Log in

All papers authored by
‘ Minsoo Rhu ’ : 2

  • A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks

    2018/07
    IEEE COMPUTER ARCHITECTURE LETTERS

    1.1 Impact Factor

    15 citations

    Youngeun Kwon, Minsoo Rhu

    DOI : 10.1109/LCA.2018.2823302

    • #Computer science
    • #Artificial intelligence
    • #Parallel computing
    • #Computer architecture
    • #Artificial neural network
    • #Bandwidth (signal processing)
    • #Speedup
    • #Bottleneck
    • #Deep learning
    • #Systems architecture
    • #Virtualization
    • #Hardware acceleration
  • A Disaggregated Memory System for Deep Learning

    2019/09
    IEEE MICRO

    3.2 Impact Factor

    10 citations

    Youngeun Kwon, Minsoo Rhu

    DOI : 10.1109/MM.2019.2929165

    • #Computer science
    • #Artificial intelligence
    • #Computer architecture
    • #Bandwidth (signal processing)
    • #Deep learning
    • #Memory management

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