cuDNN: Efficient Primitives for Deep Learning

3 October 2014

Sharan Chetlur

Cliff Woolley

Philippe Vandermersch

Papers citing "cuDNN: Efficient Primitives for Deep Learning"

50 / 249 papers shown

Title
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs Yongkweon Jeon Baeseong Park S. Kwon Byeongwook Kim Jeongin Yun Dongsoo Lee MQ 33 30 0 20 May 2020
Energy-Aware DNN Graph Optimization Yu Wang Rong Ge Shuang Qiu GNN 27 2 0 12 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 2020
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation Changqian Yu Changxin Gao Jingbo Wang Gang Yu Chunhua Shen Nong Sang SSeg 34 1,178 0 05 Apr 2020
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks Kai Zhao Sheng Di Sihuan Li Xin Liang Yujia Zhai Jieyang Chen Kaiming Ouyang Franck Cappello Zizhong Chen 30 80 0 27 Mar 2020
Pipelined Backpropagation at Scale: Training Large Models without Batches Atli Kosson Vitaliy Chiley Abhinav Venigalla Joel Hestness Urs Koster 35 33 0 25 Mar 2020
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 16 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 37 815 0 31 Dec 2019
Pipelined Training with Stale Weights of Deep Convolutional Neural Networks Lifu Zhang T. Abdelrahman 24 0 0 29 Dec 2019
Tangent Images for Mitigating Spherical Distortion Marc Eder Mykhailo Shvets John Lim Jan-Michael Frahm 24 105 0 19 Dec 2019
Array Languages Make Neural Networks Fast Artjoms Šinkarovs Hans-Nikolai Vießmann S. Scholz 25 5 0 11 Dec 2019
A Multigrid Method for Efficiently Training Video Models Chaoxia Wu Ross B. Girshick Kaiming He Christoph Feichtenhofer Philipp Krahenbuhl 32 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 34 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 31 488 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 50 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
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 27 105 0 12 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 47 307 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 33 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 36 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 54 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 35 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 39 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 27 46 0 25 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks Günther Schindler Wolfgang Roth Franz Pernkopf Holger Froening 26 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 21 7 0 10 Apr 2019
Resource Efficient 3D Convolutional Neural Networks Okan Kopuklu Neslihan Köse Ahmet Gunduz Gerhard Rigoll 27 186 0 04 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 23 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 19 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 21 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 26 156 0 18 Dec 2018
SIMD-X: Programming and Processing of Graph Algorithms on GPUs Hang Liu Howie Huang GNN 14 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 22 9 0 10 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer Ashnil Kumar M. Fulham Dagan Feng Jinman Kim MedIm 27 165 0 05 Oct 2018