Vijay Janapa Reddi

Vijay Janapa Reddi

Harvard University

Associate Professor

Electrical Engineering

Research Area

  • #Computer science
  • #Mobile Web
  • #Artificial intelligence
  • #Architecture
  • #Mobile device
  • #Mobile computing
  • #Efficient energy use
  • #Web navigation
  • #Power management
  • #Deep learning

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Contact information

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Related papers to
‘ Computer science ‘ : 15

  • MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    2020/03

    3.2 Impact Factor

    33 citations

    Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling

    DOI : 10.1109/MM.2020.2974843

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Scalability
    • #Inference
    • #Speedup
    • #Suite
    • #Benchmark (computing)
    • #Industry standard
    • #Scale (social sciences)

All papers authored by
‘ Vijay Janapa Reddi ’ : 15

  • MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    2020/03
    IEEE MICRO

    3.2 Impact Factor

    33 citations

    Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling

    DOI : 10.1109/MM.2020.2974843

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Scalability
    • #Inference
    • #Speedup
    • #Suite
    • #Benchmark (computing)
    • #Industry standard
    • #Scale (social sciences)

Related papers to
‘ Computer science ‘ : 15

  • MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    2020/03
    IEEE MICRO

    3.2 Impact Factor

    33 citations

    Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling

    DOI : 10.1109/MM.2020.2974843

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Scalability
    • #Inference
    • #Speedup
    • #Suite
    • #Benchmark (computing)
    • #Industry standard
    • #Scale (social sciences)
  • Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing

    2014/01
    IEEE COMPUTER ARCHITECTURE LETTERS

    0.7 Impact Factor

    19 citations

    Yuhao Zhu, Aditya Srikanth, Jingwen Leng, Vijay Janapa Reddi

    DOI : 10.1109/L-CA.2012.33

    • #Computer science
    • #Computer network
    • #Energy consumption
    • #Mobile device
    • #Efficient energy use
    • #Mobile telephony
    • #Web page
    • #Cascading Style Sheets
    • #Web navigation
    • #Mobile Web

Get access to
Contact information

Log in

All papers authored by
‘ Vijay Janapa Reddi ’ : 15

  • MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

    2020/03
    IEEE MICRO

    3.2 Impact Factor

    33 citations

    Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling

    DOI : 10.1109/MM.2020.2974843

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Scalability
    • #Inference
    • #Speedup
    • #Suite
    • #Benchmark (computing)
    • #Industry standard
    • #Scale (social sciences)
  • Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing

    2014/01
    IEEE COMPUTER ARCHITECTURE LETTERS

    0.7 Impact Factor

    19 citations

    Yuhao Zhu, Aditya Srikanth, Jingwen Leng, Vijay Janapa Reddi

    DOI : 10.1109/L-CA.2012.33

    • #Computer science
    • #Computer network
    • #Energy consumption
    • #Mobile device
    • #Efficient energy use
    • #Mobile telephony
    • #Web page
    • #Cascading Style Sheets
    • #Web navigation
    • #Mobile Web

Get access to Contact information

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