Origami: A 803 GOp/s/W Convolutional Network Accelerator

Origami: A 803 GOp/s/W Convolutional Network Accelerator

14 December 2015

Lukas Cavigelli

Luca Benini

Papers citing "Origami: A 803 GOp/s/W Convolutional Network Accelerator"

15 / 15 papers shown

Title
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 322 37,704 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Compression of Deep Neural Networks on the Fly G. Soulié Vincent Gripon M. Robert 21 25 0 29 Sep 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 254 4,159 0 26 Apr 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 134 2,043 0 09 Feb 2015
maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs Andrew Lavin BDL 42 47 0 27 Jan 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow Jérôme Revaud Philippe Weinzaepfel Zaïd Harchaoui Cordelia Schmid 58 796 0 12 Jan 2015
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 95 1,844 0 03 Oct 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 333 43,511 0 17 Sep 2014
Computing the Stereo Matching Cost with a Convolutional Neural Network Jure Zbontar Yann LeCun 3DV 59 767 0 15 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 954 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 275 43,290 0 01 May 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 135 4,999 0 21 Dec 2013
Fast Training of Convolutional Networks through FFTs Michaël Mathieu Mikael Henaff Yann LeCun 102 608 0 20 Dec 2013