Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on
Mobile Devices

Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

10 July 2018

Papers citing "Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices"

16 / 16 papers shown

Title
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks Sayeh Sharify Alberto Delmas Lascorz Kevin Siu Patrick Judd Andreas Moshovos MQ 44 110 0 23 Jun 2017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks A. Parashar Minsoo Rhu Anurag Mukkara A. Puglielli Rangharajan Venkatesan Brucek Khailany J. Emer S. Keckler W. Dally 70 1,122 0 23 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,747 0 17 Apr 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 192 4,619 0 16 Apr 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 107 3,002 0 27 Mar 2017
Deeper Depth Prediction with Fully Convolutional Residual Networks Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab 3DV MDE 253 1,823 0 01 Jun 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 132 7,448 0 24 Feb 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 110 2,453 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 575 27,231 0 02 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 160 2,976 0 02 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 266 6,628 0 08 Jun 2015
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh Seunghoon Hong Bohyung Han SSeg 186 4,166 0 17 May 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 156 2,043 0 09 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 361 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014