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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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SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

May 23, 2017
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Stephen W. Keckler, William J. Dally


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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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