cuDNN: Efficient Primitives for Deep Learning

3 October 2014

Sharan Chetlur

Cliff Woolley

Philippe Vandermersch

Papers citing "cuDNN: Efficient Primitives for Deep Learning"

49 / 249 papers shown

Title
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks Syed Shakib Sarwar Priyadarshini Panda Kaushik Roy CVBM 24 100 0 12 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 33 176 0 03 May 2017
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units Shaoshuai Shi Xuming Hu 29 43 0 25 Apr 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 25 51 0 14 Apr 2017
Parallel Multi Channel Convolution using General Matrix Multiplication Aravind Vasudevan Andrew Anderson David Gregg 16 139 0 06 Apr 2017
Active Convolution: Learning the Shape of Convolution for Image Classification Yunho Jeon Junmo Kim 29 171 0 27 Mar 2017
Deep Embedding Forest: Forest-based Serving with Deep Embedding Features Jiehan Zhu Ying Shan JC Mao Dong Yu Holakou Rahmanian Yi Zhang 30 52 0 15 Mar 2017
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification Jan Deriu Aurelien Lucchi V. D. Luca Aliaksei Severyn Simon Müller Mark Cieliebak Thomas Hofmann Martin Jaggi 17 133 0 07 Mar 2017
Chain-NN: An Energy-Efficient 1D Chain Architecture for Accelerating Deep Convolutional Neural Networks Shihao Wang Dajiang Zhou Xushen Han T. Yoshimura 3DV 19 51 0 04 Mar 2017
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey L. Ferrone Fabio Massimo Zanzotto 39 37 0 02 Feb 2017
Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks Wenjie Qu Mohammad Pezeshki Philemon Brakel Saizheng Zhang Yoshua Bengio Aaron Courville 27 366 0 10 Jan 2017
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 26 18 0 20 Dec 2016
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving Bichen Wu Alvin Wan F. Iandola Peter H. Jin Kurt Keutzer 44 512 0 04 Dec 2016
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression Lukas Cavigelli P. Hager Luca Benini 22 195 0 22 Nov 2016
Factorized Bilinear Models for Image Recognition Yanghao Li Naiyan Wang Jiaying Liu Xiaodi Hou 19 96 0 17 Nov 2016
How to scale distributed deep learning? Peter H. Jin Qiaochu Yuan F. Iandola Kurt Keutzer 3DH 27 136 0 14 Nov 2016
Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks R. Dicecco Griffin Lacey Jasmina Vasiljevic P. Chow Graham W. Taylor S. Areibi 23 92 0 30 Sep 2016
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization Vadim Kantorov Maxime Oquab Minsu Cho Ivan Laptev WSOL 25 305 0 14 Sep 2016
Benchmarking State-of-the-Art Deep Learning Software Tools Shaoshuai Shi Qiang-qiang Wang Pengfei Xu Xuming Hu BDL 19 327 0 25 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure Min Wang Baoyuan Liu H. Foroosh 27 51 0 15 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 47 2,323 0 12 Aug 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 58 530 0 13 Jul 2016
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs Stefan Hadjis Ce Zhang Ioannis Mitliagkas Dan Iter Christopher Ré 20 65 0 14 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning R. Appuswamy T. Nayak John V. Arthur S. K. Esser P. Merolla J. McKinstry T. Melano M. Flickner D. Modha 38 11 0 08 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,059 0 07 Jun 2016
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms Matthew W. Moskewicz F. Iandola Kurt Keutzer 17 8 0 01 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhehuai Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 140 18,268 0 27 May 2016
An Analysis of Deep Neural Network Models for Practical Applications A. Canziani Adam Paszke Eugenio Culurciello 19 1,165 0 24 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 29 127 0 20 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 40 2,335 0 09 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 108 10,176 0 27 Mar 2016
TTC: A high-performance Compiler for Tensor Transpositions P. Springer J. Hammond Paolo Bientinesi 30 17 0 07 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation Daisuke Miyashita Edward H. Lee B. Murmann MQ 30 425 0 03 Mar 2016
Automatic learning of gait signatures for people identification F. M. Castro M. Marín-Jiménez Nicolás Guil Mata N. P. D. L. Blanca CVBM 22 96 0 03 Mar 2016
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters Hanjoo Kim Jaehong Park Jaehee Jang Sungroh Yoon BDL 32 37 0 26 Feb 2016
Deep Learning on FPGAs: Past, Present, and Future Griffin Lacey Graham W. Taylor S. Areibi GNN 29 180 0 13 Feb 2016
PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors Vassileios Balntas Edward Johns Lilian Tang K. Mikolajczyk 20 172 0 19 Jan 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper ... Chong-Jun Wang Bo Xiao Dani Yogatama J. Zhan Zhenyao Zhu 63 2,956 0 08 Dec 2015
FireCaffe: near-linear acceleration of deep neural network training on compute clusters F. Iandola Khalid Ashraf Matthew W. Moskewicz Kurt Keutzer 30 302 0 31 Oct 2015
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches Jure Zbontar Yann LeCun 3DV 24 1,384 0 20 Oct 2015
Semantic Image Segmentation via Deep Parsing Network Ziwei Liu Xiaoxiao Li Ping Luo Chen Change Loy Xiaoou Tang 25 659 0 09 Sep 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation Marijn F. Stollenga Wonmin Byeon Marcus Liwicki Jürgen Schmidhuber 32 294 0 24 Jun 2015
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 44 447 0 08 Jun 2015
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions Mikhail Figurnov Aizhan Ibraimova Dmitry Vetrov Pushmeet Kohli 32 137 0 30 Apr 2015
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning Stefan Hadjis Firas Abuzaid Ce Zhang Christopher Ré BDL 23 71 0 16 Apr 2015
Learning to Compare Image Patches via Convolutional Neural Networks Sergey Zagoruyko N. Komodakis SSL 36 1,434 0 14 Apr 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 75 2,754 0 20 Feb 2015
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation Nicolas Vasilache Jeff Johnson Michaël Mathieu Soumith Chintala Serkan Piantino Yann LeCun 34 346 0 24 Dec 2014
Deep Speech: Scaling up end-to-end speech recognition Awni Y. Hannun Carl Case Jared Casper Bryan Catanzaro G. Diamos ... R. Prenger S. Satheesh Shubho Sengupta Adam Coates A. Ng 113 2,110 0 17 Dec 2014