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PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with
  Pattern-based Weight Pruning

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

1 January 2020
Wei Niu
Xiaolong Ma
Sheng Lin
Shihao Wang
Xuehai Qian
X. Lin
Yanzhi Wang
Bin Ren
    MQ
ArXivPDFHTML

Papers citing "PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning"

32 / 82 papers shown
Title
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with
  Deep Neural Networks
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks
Ekrem Çetinkaya
Minh Le Nguyen
C. Timmerer
22
2
0
12 Jan 2022
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
Zhenglun Kong
Peiyan Dong
Xiaolong Ma
Xin Meng
Mengshu Sun
...
Geng Yuan
Bin Ren
Minghai Qin
H. Tang
Yanzhi Wang
ViT
34
144
0
27 Dec 2021
Boosting Mobile CNN Inference through Semantic Memory
Boosting Mobile CNN Inference through Semantic Memory
Yun Li
Chen Zhang
S. Han
Li Zhang
B. Yin
Yunxin Liu
Mengwei Xu
ObjD
44
16
0
05 Dec 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
Yifan Gong
Geng Yuan
Zheng Zhan
Wei Niu
Zhengang Li
...
Sijia Liu
Bin Ren
Xue Lin
Xulong Tang
Yanzhi Wang
28
10
0
22 Nov 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the
  Edge
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
23
89
0
26 Oct 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Yanli Liu
Bochen Guan
Qinwen Xu
Weiyi Li
Shuxue Quan
33
2
0
21 Oct 2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural
  Networks
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
Cheng Gong
Ye Lu
Kunpeng Xie
Zongming Jin
Tao Li
Yanzhi Wang
MQ
27
7
0
08 Sep 2021
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced
  Operator Fusion
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
Wei Niu
Jiexiong Guan
Yanzhi Wang
G. Agrawal
Bin Ren
AI4CE
30
146
0
30 Aug 2021
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile
  Devices based on Fine-Grained Structured Weight Sparsity
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity
Wei Niu
Zhengang
Xiaolong Ma
Peiyan Dong
Gang Zhou
Xuehai Qian
Xue Lin
Yanzhi Wang
Bin Ren
14
19
0
25 Aug 2021
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture
  and Pruning Search
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search
Zheng Zhan
Yifan Gong
Pu Zhao
Geng Yuan
Wei Niu
...
Malith Jayaweera
David Kaeli
Bin Ren
Xue Lin
Yanzhi Wang
SupR
35
41
0
18 Aug 2021
Achieving Real-Time Object Detection on MobileDevices with Neural
  Pruning Search
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search
Pu Zhao
Wei Niu
Geng Yuan
Yuxuan Cai
Bin Ren
Yanzhi Wang
Xue Lin
3DPC
15
2
0
28 Jun 2021
Efficient Micro-Structured Weight Unification and Pruning for Neural
  Network Compression
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
Sheng Lin
Wei Jiang
Wei Wang
Kaidi Xu
Yanzhi Wang
Shan Liu
Songnan Li
23
1
0
15 Jun 2021
Pinpointing the Memory Behaviors of DNN Training
Pinpointing the Memory Behaviors of DNN Training
Jiansong Li
Xiao-jun Dong
Guangli Li
Peng Zhao
Xueying Wang
...
Yongxin Yang
Zihan Jiang
Wei Cao
Lei Liu
Xiaobing Feng
18
1
0
01 Apr 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
58
34
0
25 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
39
54
0
05 Mar 2021
Dancing along Battery: Enabling Transformer with Run-time
  Reconfigurability on Mobile Devices
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices
Yuhong Song
Weiwen Jiang
Bingbing Li
Panjie Qi
Qingfeng Zhuge
E. Sha
Sakyasingha Dasgupta
Yiyu Shi
Caiwen Ding
18
18
0
12 Feb 2021
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel
  Convolutions
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions
Yuke Wang
Boyuan Feng
Yufei Ding
22
9
0
04 Jan 2021
Enabling Retrain-free Deep Neural Network Pruning using Surrogate
  Lagrangian Relaxation
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Deniz Gurevin
Shangli Zhou
Lynn Pepin
Bingbing Li
Mikhail A. Bragin
Caiwen Ding
Fei Miao
21
3
0
18 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
26
82
0
08 Dec 2020
NPAS: A Compiler-aware Framework of Unified Network Pruning and
  Architecture Search for Beyond Real-Time Mobile Acceleration
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
Zhengang Li
Geng Yuan
Wei Niu
Pu Zhao
Yanyu Li
...
Sijia Liu
Kaiyuan Yang
Bin Ren
Yanzhi Wang
Xue Lin
MQ
34
27
0
01 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
ClickTrain: Efficient and Accurate End-to-End Deep Learning Training via
  Fine-Grained Architecture-Preserving Pruning
ClickTrain: Efficient and Accurate End-to-End Deep Learning Training via Fine-Grained Architecture-Preserving Pruning
Chengming Zhang
Geng Yuan
Wei Niu
Jiannan Tian
Sian Jin
...
Zhe Jiang
Yanzhi Wang
Bin Ren
Shuaiwen Leon Song
Dingwen Tao
3DV
24
1
0
20 Nov 2020
Methods for Pruning Deep Neural Networks
Methods for Pruning Deep Neural Networks
S. Vadera
Salem Ameen
3DPC
21
122
0
31 Oct 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network
  Quantization Framework
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Weiwen Jiang
Runbin Shi
Xue Lin
Yanzhi Wang
MQ
27
7
0
16 Sep 2020
Scaling Up Deep Neural Network Optimization for Edge Inference
Scaling Up Deep Neural Network Optimization for Edge Inference
Bingqian Lu
Jianyi Yang
Shaolei Ren
13
4
0
01 Sep 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise
  Sparsity
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
Cong Guo
B. Hsueh
Jingwen Leng
Yuxian Qiu
Yue Guan
Zehuan Wang
Xiaoying Jia
Xipeng Li
M. Guo
Yuhao Zhu
35
1
0
29 Aug 2020
Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based
  Classifiers
Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers
Fangfang Yang
Shaolei Ren
AAML
26
16
0
10 Jun 2020
CoCoPIE: Making Mobile AI Sweet As PIE --Compression-Compilation
  Co-Design Goes a Long Way
CoCoPIE: Making Mobile AI Sweet As PIE --Compression-Compilation Co-Design Goes a Long Way
Shaoshan Liu
Bin Ren
Xipeng Shen
Yanzhi Wang
17
18
0
14 Mar 2020
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile
  Processors
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
Jie Liu
Jiawen Liu
Zhen Xie
Dong Li
22
5
0
03 Mar 2020
A Note on Latency Variability of Deep Neural Networks for Mobile
  Inference
A Note on Latency Variability of Deep Neural Networks for Mobile Inference
Luting Yang
Bingqian Lu
Shaolei Ren
11
6
0
29 Feb 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
  Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma
Wei Niu
Tianyun Zhang
Sijia Liu
Sheng Lin
...
Xiang Chen
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
35
27
0
20 Jan 2020
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
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