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DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network 期刊论文
MACHINE LEARNING, 2024, 页码: 14
作者:  Pei, Songwen;  Wang, Jiyao;  Zhang, Bingxue;  Qin, Wei;  Xue, Hai;  Ye, Xiaochun;  Chen, Mingsong
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Big data  Compression  Deep learning  Pseudo-mean mixed-precision quantization  Pruned neural network  
MJOA-MU: End-to-edge collaborative computation for DNN inference based on model uploading 期刊论文
COMPUTER NETWORKS, 2023, 卷号: 231, 页码: 17
作者:  Yang, Huan;  Sun, Sheng;  Liu, Min;  Zhang, Qiuping;  Wang, Yuwei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
DNN inference  Model uploading  DNN partitioning  Resource allocation  
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376
作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
Network Pruning for Bit-Serial Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1597-1609
作者:  Zhao, Xiandong;  Wang, Ying;  Liu, Cheng;  Shi, Cong;  Tu, Kaijie;  Zhang, Lei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
AI accelerators  neural networks (NNs)  NN compression  
BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 1, 页码: 90-103
作者:  Li, Hongyan;  Lu, Hang;  Wang, Haoxuan;  Deng, Shengji;  Li, Xiaowei
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Deep learning accelerator  deep neural network (DNN)  hardware runtime pruning  
Neural Network Pruning by Recurrent Weights for Finance Market 期刊论文
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, 卷号: 22, 期号: 3, 页码: 23
作者:  Pei, Songwen;  Wu, Yusheng;  Guo, Jin;  Qiu, Meikang
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Channel pruning  neural networks  recurrent weights  finance market  
Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 卷号: 124, 页码: 11
作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Yue, Hengshan;  Li, Jiansong;  Liu, Lei;  Feng, Xiaobing;  Xue, Jingling
收藏  |  浏览/下载：25/0  |  提交时间：2022/12/07
Edge intelligence  Deep learning  Neural network compression  
EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 1259-1271
作者:  Yu, Fang;  Cui, Li;  Wang, Pengcheng;  Han, Chuanqi;  Huang, Ruoran;  Huang, Xi
收藏  |  浏览/下载：31/0  |  提交时间：2021/12/01
Acceleration  Internet of Things  Computational modeling  Edge computing  Sensitivity analysis  Optimization  Convex functions  Deep neural networks (DNNs)  edge computing  filter pruning  model compression and acceleration  
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 51134-51145
作者:  Zhong, Qiaoling;  Zhang, Zhibin;  Qiu, Qiang;  Cheng, Xueqi
收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01
Network pruning  inference acceleration  model compression  multiple GPUs  
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626
作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Liu, Lei;  Xue, Jingling;  Feng, Xiaobing
收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01
Deep learning system  edge intelligence  model compression and acceleration  neural networks