EIE: Efficient Inference Engine on Compressed Deep Neural Network

4 February 2016

Song Han

Papers citing "EIE: Efficient Inference Engine on Compressed Deep Neural Network"

50 / 211 papers shown

Title
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators Xuan S. Yang Mingyu Gao Qiaoyi Liu Jeff Setter Jing Pu ... Kaidi Cao Heonjae Ha Priyanka Raina Christos Kozyrakis M. Horowitz 19 225 0 10 Sep 2018
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks Seongsik Park Seijoon Kim Hyeokjun Choe Sungroh Yoon 13 94 0 10 Sep 2018
A Hardware-Software Blueprint for Flexible Deep Learning Specialization T. Moreau Tianqi Chen Luis Vega Jared Roesch Eddie Q. Yan ... Josh Fromm Ziheng Jiang Luis Ceze Carlos Guestrin Arvind Krishnamurthy 22 70 0 11 Jul 2018
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices Yu-hsin Chen Tien-Ju Yang J. Emer Vivienne Sze MQ 13 70 0 10 Jul 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 24 108 0 09 Jul 2018
Restructuring Batch Normalization to Accelerate CNN Training Wonkyung Jung Daejin Jung and Byeongho Kim Sunjung Lee Wonjong Rhee Jung Ho Ahn 21 62 0 04 Jul 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 16 990 0 21 Jun 2018
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework Mohsen Imani Mohammad Samragh Yeseong Kim Saransh Gupta F. Koushanfar Tajana Simunic 16 51 0 15 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang Yuhao Zhu Ji Liu CVBM 12 36 0 12 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 13 117 0 04 Jun 2018
Channel Gating Neural Networks Weizhe Hua Yuan Zhou Christopher De Sa Zhiru Zhang G. E. Suh 13 180 0 29 May 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 19 44 0 22 May 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks Amir Yazdanbakhsh Hajar Falahati Philip J. Wolfe K. Samadi N. Kim H. Esmaeilzadeh 20 71 0 10 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection Yi Wei Xinyu Pan Hongwei Qin Wanli Ouyang Junjie Yan ObjD 22 88 0 06 May 2018
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning Titus Cieslewski Konstantinos G. Derpanis Davide Scaramuzza 18 7 0 03 May 2018
Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications K. Kwon Alon Amid A. Gholami Bichen Wu Krste Asanović Kurt Keutzer 3DV OOD 19 22 0 20 Apr 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition Kartik Hegde Jiyong Yu R. Agrawal Mengjia Yan Michael Pellauer Christopher W. Fletcher 14 165 0 18 Apr 2018
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision Yuhao Zhu A. Samajdar Matthew Mattina P. Whatmough 24 87 0 29 Mar 2018
A Survey on Deep Learning Methods for Robot Vision Javier Ruiz-del-Solar P. Loncomilla Naiomi Soto 28 60 0 28 Mar 2018
EVA $^2$ : Exploiting Temporal Redundancy in Live Computer Vision Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson 36 75 0 16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 23 80 0 16 Mar 2018
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning Maurice Yang Mahmoud Faraj Assem Hussein V. Gaudet CVBM 14 12 0 15 Mar 2018
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework Zihao Liu Tao Liu Wujie Wen Lei Jiang Jie Xu Yanzhi Wang Gang Quan 18 97 0 14 Mar 2018
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration Anirban Nag Ali Shafiee R. Balasubramonian Vivek Srikumar N. Muralimanohar 16 37 0 10 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 20 114 0 06 Mar 2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine Renzo Andri Lukas Cavigelli D. Rossi Luca Benini MQ 14 19 0 05 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 873 0 03 Mar 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 20 33 0 27 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets Fabian Schuiki Michael Schaffner Frank K. Gürkaynak Luca Benini 21 70 0 19 Feb 2018
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks Qi Liu Tao Liu Zihao Liu Yanzhi Wang Yier Jin Wujie Wen AAML 27 48 0 14 Feb 2018
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms J. Ko Taesik Na M. Amir Saibal Mukhopadhyay 16 148 0 11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 33 1,339 0 10 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 23 143 0 06 Feb 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 27 87 0 02 Feb 2018
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks Yuechao Gao Nianhong Liu Shenmin Zhang 16 0 0 23 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 26 176 0 23 Jan 2018
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks Linnan Wang Jinmian Ye Yiyang Zhao Wei Yu Wu Ang Li S. Song Zenglin Xu Tim Kraska 3DH 26 264 0 13 Jan 2018
Automated Pruning for Deep Neural Network Compression Franco Manessi A. Rozza Simone Bianco Paolo Napoletano Raimondo Schettini 34 56 0 05 Dec 2017
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning Mengwei Xu Feng Qian Mengze Zhu Feifan Huang Saumay Pushp Xuanzhe Liu 28 23 0 01 Dec 2017
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation Moritz B. Milde Daniel Neil Alessandro Aimar T. Delbruck Giacomo Indiveri MQ 27 9 0 13 Nov 2017
Minimum Energy Quantized Neural Networks Bert Moons Koen Goetschalckx Nick Van Berckelaer Marian Verhelst MQ 22 123 0 01 Nov 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian-jun Sun 32 2,503 0 19 Jul 2017
A Reconfigurable Streaming Deep Convolutional Neural Network Accelerator for Internet of Things Li Du Yuan Du Yilei Li Mau-Chung Frank Chang 16 168 0 08 Jul 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 25 176 0 03 May 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 31 4,594 0 16 Apr 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 17 51 0 14 Apr 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision Amr Suleiman Yu-hsin Chen J. Emer Vivienne Sze 24 56 0 17 Mar 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 24 34 0 27 Feb 2017
Embedding Watermarks into Deep Neural Networks Yusuke Uchida Yuki Nagai S. Sakazawa Shiníchi Satoh 48 597 0 15 Jan 2017
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics D. George Eliu A. Huerta 20 201 0 30 Dec 2016