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
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids Igor Fedorov Marko Stamenovic Carl R. Jensen Li-Chia Yang Ari Mandell Yiming Gan Matthew Mattina P. Whatmough 11 96 0 20 May 2020
Movement Pruning: Adaptive Sparsity by Fine-Tuning Victor Sanh Thomas Wolf Alexander M. Rush 19 466 0 15 May 2020
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Ali Hadi Zadeh Isak Edo Omar Mohamed Awad Andreas Moshovos MQ 22 183 0 08 May 2020
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain Weitao Li Pengfei Xu Yang Katie Zhao Haitong Li Yuan Xie Yingyan Lin 9 68 0 03 May 2020
Lupulus: A Flexible Hardware Accelerator for Neural Networks Andreas Toftegaard Kristensen R. Giterman Alexios Balatsoukas-Stimming A. Burg 31 0 0 03 May 2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware Fei Sun Minghai Qin Tianyun Zhang Liu Liu Yen-kuang Chen Yuan Xie 29 7 0 24 Apr 2020
Reducing Data Motion to Accelerate the Training of Deep Neural Networks Sicong Zhuang C. Malossi Marc Casas 17 0 0 05 Apr 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets D. Haase Manuel Amthor 17 132 0 30 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 382 0 05 Mar 2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures Yang Katie Zhao Chaojian Li Yue Wang Pengfei Xu Yongan Zhang Yingyan Lin 9 41 0 26 Feb 2020
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 8 714 0 24 Feb 2020
A $^3$ : Accelerating Attention Mechanisms in Neural Networks with Approximation Tae Jun Ham Sungjun Jung Seonghak Kim Young H. Oh Yeonhong Park ... Jung-Hun Park Sanghee Lee Kyoung Park Jae W. Lee D. Jeong 20 211 0 22 Feb 2020
Taurus: A Data Plane Architecture for Per-Packet ML Tushar Swamy Alexander Rucker M. Shahbaz Ishan Gaur K. Olukotun 18 82 0 12 Feb 2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators Zhanhong Tan Jiebo Song Xiaolong Ma S. Tan Hongyang Chen ... Yifu Wu Shaokai Ye Yanzhi Wang Dehui Li Kaisheng Ma 27 24 0 11 Feb 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 24 50 0 14 Jan 2020
Least squares binary quantization of neural networks Hadi Pouransari Zhucheng Tu Oncel Tuzel MQ 17 32 0 09 Jan 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 25 188 0 08 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network Fahimeh Fooladgar S. Kasaei 14 13 0 02 Jan 2020
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards Tolulope A. Odetola Katie M. Groves S. R. Hasan 21 5 0 14 Nov 2019
Communication Lower Bound in Convolution Accelerators Xiaoming Chen Yinhe Han Yu Wang 13 29 0 08 Nov 2019
ALERT: Accurate Learning for Energy and Timeliness Chengcheng Wan M. Santriaji E. Rogers H. Hoffmann Michael Maire Shan Lu AI4CE 32 40 0 31 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 33 667 0 16 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs Souvik Kundu Saurav Prakash H. Akrami P. Beerel K. Chugg 28 12 0 02 Oct 2019
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding Shuo Wang Ning Liu Kaidi Xu Yanzhi Wang Yun Liang MQ 13 89 0 29 Sep 2019
Serving Recurrent Neural Networks Efficiently with a Spatial Accelerator Tian Zhao Yaqi Zhang K. Olukotun 19 16 0 26 Sep 2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement Qing Yang Jiachen Mao Zuoguan Wang H. Li 13 15 0 13 Sep 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 39 957 0 23 Jul 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection Zhuo Chen Jiyuan Zhang Ruizhou Ding Diana Marculescu 13 12 0 19 Jun 2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 14 34 0 14 Jun 2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 30 290 0 06 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 21 101 0 05 Jun 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Igor Fedorov Ryan P. Adams Matthew Mattina P. Whatmough 13 164 0 28 May 2019
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning Wenqi Shi Yunzhong Hou Sheng Zhou Z. Niu Yang Zhang Lu Geng 11 84 0 08 Mar 2019
Speeding up convolutional networks pruning with coarse ranking Z. Wang Chengcheng Li Dali Wang Xiangyang Wang Hairong Qi 11 0 0 18 Feb 2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach Nitthilan Kanappan Jayakodi Anwesha Chatterjee Wonje Choi J. Doppa P. Pande 11 27 0 29 Jan 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers Ao Ren Tianyun Zhang Shaokai Ye Jiayu Li Wenyao Xu Xuehai Qian X. Lin Yanzhi Wang MQ 29 162 0 31 Dec 2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Zhe Li Caiwen Ding Siyue Wang Wujie Wen Youwei Zhuo ... Qinru Qiu Wenyao Xu X. Lin Xuehai Qian Yanzhi Wang MQ 12 64 0 12 Dec 2018
Pre-Defined Sparse Neural Networks with Hardware Acceleration Sourya Dey Kuan-Wen Huang P. Beerel K. Chugg 41 24 0 04 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 21 65 0 18 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 27 14 0 14 Nov 2018
Learning to Skip Ineffectual Recurrent Computations in LSTMs A. Ardakani Zhengyun Ji W. Gross 11 16 0 09 Nov 2018
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 25 177 0 08 Nov 2018
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference Qing Qin Jie Ren Jia-Le Yu Ling Gao Hai Wang Jie Zheng Yansong Feng Jianbin Fang Zheng Wang 11 21 0 21 Oct 2018
SCALE-Sim: Systolic CNN Accelerator Simulator A. Samajdar Yuhao Zhu P. Whatmough Matthew Mattina Tushar Krishna 19 136 0 16 Oct 2018
Training Deep Neural Network in Limited Precision Hyunsun Park J. Lee Youngmin Oh Sangwon Ha Seungwon Lee 19 8 0 12 Oct 2018
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao L. Dudziak Robert D. Mullins Chengzhong Xu 14 311 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 8 1,449 0 11 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
Shift-based Primitives for Efficient Convolutional Neural Networks Huasong Zhong Xianggen Liu Yihui He Yuchun Ma 29 20 0 22 Sep 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 16 4 0 18 Sep 2018