Energy-Efficient
Multimedia Systems Group

Professor Vivienne Sze

Books, Book Chapters and Theses

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Books

      

  • V. Sze, Y.-H. Chen, T.-J. Yang, J. S. Emer, Efficient Processing of Deep Neural Networks, Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, 2020. [ Pre-order book here ] Book excerpt on “Advanced Technologies” available at [ Link ]
  • V. Sze, M. Budagavi, G. J. Sullivan (Editors), High Efficiency Video Coding (HEVC): Algorithms and Architectures, Springer, 2014. [ Link ]

Book Chapters

  • V. Sze, D. Marpe, “Entropy Coding in HEVC,” High Efficiency Video Coding (HEVC): Algorithms and Architectures, Springer, 2014. [ Link ] [ preprint ]
  • M. Tikekar, C.-T. Huang, C. Juvekar, V. Sze, and A. Chandrakasan, “Decoder Hardware Architecture for HEVC,” High Efficiency Video Coding (HEVC): Algorithms and Architectures, Springer, 2014. [ Link ] [ preprint ]
  • D-K. Kwon, M. Budagavi, V. Sze, W-S. Kim, “Video Compression,” Mobile Communications Handbook, Third Edition, CRC, 2012. [ Link ]

Theses

  • Zhang, Zhengdong, “Efficient Computing for Autonomous Navigation using
    Algorithm-and-Hardware Co-design,” Ph.D. Thesis, Massachusetts Institute of Technology, June 2019. [ thesis Link | defense video | slides PDF ]
  • Chen, Yu-Hsin, “Architecture Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators,” Ph.D. Thesis, Massachusetts Institute of Technology, June 2018. [ thesis Link | defense video | slides PDF ]
  • Suleiman, Amr, “Energy-Efficient Accelerators for Autonomous Navigation for Miniaturized Robots,” Ph.D. Thesis, Massachusetts Institute of Technology, June 2018. [ thesis Link | defense video ]
  • Tikekar, Mehul, “Energy-Efficient Video Decoding Using Data Statistics,” Ph.D. Thesis, Massachusetts Institute of Technology, September 2017. [ Link ]