cuDNN: Efficient Primitives for Deep Learning

3 October 2014

Sharan Chetlur

Cliff Woolley

Philippe Vandermersch

Papers citing "cuDNN: Efficient Primitives for Deep Learning"

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Title
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios Adam Dziedzic V. Sathya M. I. Rochman M. Ghosh S. Krishnan 24 19 0 18 Mar 2020
Exploiting Verified Neural Networks via Floating Point Numerical Error Kai Jia Martin Rinard AAML 37 34 0 06 Mar 2020
Advances in Deep Space Exploration via Simulators & Deep Learning James Bird Linda R. Petzold P. Lubin Dulia Deacon 8 15 0 10 Feb 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 35 815 0 31 Dec 2019
Pipelined Training with Stale Weights of Deep Convolutional Neural Networks Lifu Zhang T. Abdelrahman 21 0 0 29 Dec 2019
Array Languages Make Neural Networks Fast Artjoms Šinkarovs Hans-Nikolai Vießmann S. Scholz 20 5 0 11 Dec 2019
A Multigrid Method for Efficiently Training Video Models Chaoxia Wu Ross B. Girshick Kaiming He Christoph Feichtenhofer Philipp Krahenbuhl 21 94 0 02 Dec 2019
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design Xingyao Zhang Shuaiwen Leon Song Chenhao Xie Jing Wang Wei-gong Zhang Xin Fu 25 20 0 07 Nov 2019
MLPerf Inference Benchmark Vijayarāghava Reḍḍī C. Cheng David Kanter Pete H Mattson Guenther Schmuelling ... Bing Yu George Y. Yuan Aaron Zhong P. Zhang Yuchen Zhou 31 487 0 06 Nov 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 48 11 0 21 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019 Andrey D. Ignatov Radu Timofte Andrei Kulik Seungsoo Yang Ke Wang Felix Baum Max Wu Lirong Xu Luc Van Gool ELM 23 218 0 15 Oct 2019
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 38 305 0 02 Oct 2019
MIOpen: An Open Source Library For Deep Learning Primitives Jehandad Khan Paul Fultz Artem Tamazov Daniel Lowell Chao-Jung Liu ... Vasilii Filippov Jing Zhang Jing Zhou Bragadeesh Natarajan Mayank Daga VLM MoE 20 38 0 30 Sep 2019
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator Tian Zhao Yaqi Zhang K. Olukotun 27 16 0 26 Sep 2019
Exascale Deep Learning for Scientific Inverse Problems N. Laanait Josh Romero Junqi Yin M. T. Young Sean Treichler V. Starchenko A. Borisevich Alexander Sergeev Michael A. Matheson FedML BDL 35 29 0 24 Sep 2019
$360^o$ Surface Regression with a Hyper-Sphere Loss Antonis Karakottas N. Zioulis Stamatis Samaras Dimitrios Ataloglou V. Gkitsas D. Zarpalas P. Daras 3DH 22 8 0 16 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 24 96 0 03 Sep 2019
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training Saptadeep Pal Eiman Ebrahimi A. Zulfiqar Yaosheng Fu Victor Zhang Szymon Migacz D. Nellans Puneet Gupta 34 55 0 30 Jul 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 49 93 0 27 Jul 2019
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation Hyeongmin Lee Taeoh Kim Tae-Young Chung Daehyun Pak Yuseok Ban Sangyoun Lee 30 235 0 24 Jul 2019
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night Vinicius F. Arruda T. M. Paixão Rodrigo Berriel Alberto F. de Souza C. Badue N. Sebe Thiago Oliveira-Santos ViT 15 103 0 19 Jul 2019
Profiling based Out-of-core Hybrid Method for Large Neural Networks Yuki Ito Haruki Imai Tung D. Le Yasushi Negishi K. Kawachiya R. Matsumiya Toshio Endo 24 9 0 11 Jul 2019
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Leyuan Wang Zhi Chen Yizhi Liu Yao Wang Lianmin Zheng Mu Li Yida Wang 31 30 0 03 Jul 2019
A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks A. Mehrabian M. Miscuglio Yousra Alkabani V. Sorger T. El-Ghazawi 11 46 0 25 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 24 6 0 12 Jun 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek MQ 19 21 0 15 May 2019
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices Nilay Shrivastava Astitwa Saxena Yaman Kumar Singla Preeti Kaur Debanjan Mahata R. Shah 27 3 0 10 May 2019
Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels John Lawson M. Goli Duncan McBain Daniel Soutar Louis Sugy 16 7 0 10 Apr 2019
swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight Jiarui Fang Liandeng Li Haohuan Fu Jinlei Jiang Wenlai Zhao Conghui He Xin You Guangwen Yang 21 30 0 16 Mar 2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism Nikoli Dryden N. Maruyama Tom Benson Tim Moon M. Snir B. Van Essen 26 49 0 15 Mar 2019
Accelerating Training of Deep Neural Networks with a Standardization Loss Jasmine Collins Johannes Ballé Jonathon Shlens 21 3 0 03 Mar 2019
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications Idris Jeelani Khashayar Asadi Hariharan Ramshankar Kevin K. Han A. Albert 11 5 0 30 Jan 2019
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Neural Networks Jinrong Guo Wantao Liu Wang Wang Q. Lu Songlin Hu Jizhong Han Ruixuan Li 16 9 0 21 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 28 372 0 01 Jan 2019
An Optical Frontend for a Convolutional Neural Network S. Colburn Yiren Chu Eli Shlizerman A. Majumdar 27 89 0 23 Dec 2018
wav2letter++: The Fastest Open-source Speech Recognition System Vineel Pratap Awni Y. Hannun Qiantong Xu Jeff Cai Jacob Kahn Gabriel Synnaeve Vitaliy Liptchinsky R. Collobert VLM 18 156 0 18 Dec 2018
SIMD-X: Programming and Processing of Graph Algorithms on GPUs Hang Liu Howie Huang GNN 11 53 0 10 Dec 2018
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator Jonathan Lew Deval Shah Suchita Pati Shaylin Cattell Mengchi Zhang ... Christopher Ng Negar Goli Matthew D. Sinclair Timothy G. Rogers Tor M. Aamodt 29 65 0 18 Nov 2018
Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments Dongwha Shin M. Ahmed P. Rhee ObjD 26 20 0 13 Oct 2018
LIRS: Enabling efficient machine learning on NVM-based storage via a lightweight implementation of random shuffling Zhi-Lin Ke Hsiang-Yun Cheng Chia-Lin Yang 17 9 0 10 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer Ashnil Kumar M. Fulham D. Feng Jinman Kim MedIm 27 165 0 05 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey D. Ignatov Radu Timofte William Chou Ke Wang Max Wu Tim Hartley Luc Van Gool ELM 21 321 0 02 Oct 2018
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse Sangkug Lym Armand Behroozi W. Wen Ge Li Yongkee Kwon M. Erez 12 25 0 30 Sep 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 27 26 0 15 Aug 2018
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images Pascal Sturmfels S. Rutherford Mike Angstadt Mark Peterson Chandra S. Sripada Jenna Wiens MedIm 27 23 0 11 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 51 4,929 0 30 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 24 116 0 21 Jul 2018
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs Linpeng Tang Yida Wang Theodore L. Willke Kai Li GNN 21 22 0 16 Jul 2018
Beyond Data and Model Parallelism for Deep Neural Networks Zhihao Jia Matei A. Zaharia A. Aiken GNN AI4CE 38 497 0 14 Jul 2018
A Large-Scale Study on Regularization and Normalization in GANs Karol Kurach Mario Lucic Xiaohua Zhai Marcin Michalski Sylvain Gelly AI4CE 33 155 0 12 Jul 2018