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Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks

Jul 10, 2018
Yu-Hsin Chen, Joel Emer, Vivienne Sze


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Hardware for Machine Learning: Challenges and Opportunities

Oct 17, 2017
Vivienne Sze, Yu-Hsin Chen, Joel Emer, Amr Suleiman, Zhengdong Zhang

* Published as an invited conference paper at CICC 2017 

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Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Aug 13, 2017
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer

* Based on tutorial on DNN Hardware at eyeriss.mit.edu/tutorial.html 

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Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning

Apr 18, 2017
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze

* Published as a conference paper at CVPR 2017 

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Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision

Mar 17, 2017
Amr Suleiman, Yu-Hsin Chen, Joel Emer, Vivienne Sze


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