Tutorial on Hardware Architectures for Deep Neural Networks


Email: eyeriss at mit dot edu


Welcome to the DNN tutorial website!

  • A summary of all DNN related papers from our group can be found here. Other related websites and resources can be found here.
  • To find out more about the Eyeriss project, please go here.
  • To find out more about other on-going research in the Energy-Efficient Multimedia Systems (EEMS) group at MIT, please go here.

We will be giving a two day short course on Designing Efficient Deep Learning Systems at MIT in Cambridge, MA on July 22-23, 2019. To find out more, please visit MIT Professional Education.


Updates

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  • 09/19/2018

    We will be giving a two day short course on "Designing Efficient Deep Learning Systems" in Mountain View, CA on March 27-28, 2019. To find out more, please visit MIT Professional Education.

  • 07/31/2018

    New paper on "Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks" available on arXiv [ PDF ].

  • 04/17/2018

    New paper on "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications" will be presented at ECCV 2018. Available on arXiv. [ PDF ].

  • 02/12/2018

    New paper on "Understanding the Limitations of Existing Energy-Efficient Design Approaches for Deep Neural Networks" [ PDF ].

  • 11/22/2017

    Our paper on "Efficient Processing of Deep Neural Networks: A Tutorial and Survey" is the cover story for the December issue of Proceedings of the IEEE. The final version is available here.

  • 09/17/2017

    We will be giving a two day short course on “Designing Efficient Deep Learning Systems” in Mountain View, California on March 28-29, 2018. To find out more, please visit MIT Professional Education.

  • 06/25/2017

    Updated slides posted here from ISCA 2017.

  • 05/22/2017

    We will be giving an updated version of our tutorial at MICRO-50.

  • 03/27/2017

    Updated slides posted here from the CICS/MTL tutorial.

  • 03/27/2017

    New paper on "Efficient Processing of Deep Neural Networks: A Tutorial and Survey" available on arXiv. [ LINK ]

  • 03/25/2017

    DNN Energy Estimation Website available online. [ LINK ]

  • 01/21/2017

    We will be giving an updated version of our tutorial at ISCA 2017.

  • 01/17/2017

    New paper on “Hardware for Machine Learning: Challenges and Opportunities” will be presented at IEEE CICC 2017. Available on arXiv. [ LINK ]

  • 11/15/2016

    New paper on “Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning” will be presented at CVPR 2017. Available on arXiv. [ LINK ]

  • 11/12/2016

    DNN Tutorial Slides now available online.

  • 10/16/2016

    Full day tutorial held at MICRO-49