Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Joel Emer

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


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions