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Wenyan Lu
Wenyan Lu
在 ict.ac.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Flexflow: A flexible dataflow accelerator architecture for convolutional neural networks
W Lu, G Yan, J Li, S Gong, Y Han, X Li
2017 IEEE International Symposium on High Performance Computer Architecture …, 2017
3822017
SmartShuttle: Optimizing off-chip memory accesses for deep learning accelerators
J Li, G Yan, W Lu, S Jiang, S Gong, J Wu, X Li
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 343-348, 2018
1022018
AxTrain: Hardware-oriented neural network training for approximate inference
X He, L Ke, W Lu, G Yan, X Zhang
Proceedings of the International Symposium on Low Power Electronics and …, 2018
372018
Joint design of training and hardware towards efficient and accuracy-scalable neural network inference
X He, W Lu, G Yan, X Zhang
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018
232018
Exploiting the potential of computation reuse through approximate computing
X He, S Jiang, W Lu, G Yan, Y Han, X Li
IEEE Transactions on Multi-Scale Computing Systems 3 (3), 152-165, 2016
212016
TNPU: an efficient accelerator architecture for training convolutional neural networks
J Li, G Yan, W Lu, S Jiang, S Gong, J Wu, J Yan, X Li
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
162019
CCR: A concise convolution rule for sparse neural network accelerators
J Li, G Yan, W Lu, S Jiang, S Gong, J Wu, X Li
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 189-194, 2018
102018
ShuntFlow: An Efficient and Scalable Dataflow Accelerator Architecture for Streaming Applications
S Gong, J Li, W Lu, G Yan, X Li
Proceedings of the 56th Annual Design Automation Conference 2019, 194, 2019
62019
SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks
J Li, G Yan, W Lu, S Gong, S Jiang, J Wu, X Li
ACM Transactions on Design Automation of Electronic Systems (TODAES) 24 (1), 8, 2018
52018
Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks
W Lu, G Yan, J Li, S Gong, S Jiang, J Wu, X Li
IEEE Transactions on Computers 68 (6), 867-881, 2018
42018
A Quantitative Exploration of Collaborative Pruning and Approximation Towards Energy-Efficient Deep Neural Networks
X He, W Lu, K Liu, G Yan, X Zhang
IEEE Design & Test, 2019
22019
AdaFlow: Aggressive Convolutional Neural Networks Approximation by Leveraging the Input Variability
W Lu, G Yan, X Li
Journal of Low Power Electronics 14 (4), 481-495, 2018
22018
Leveraging PVT-Margins in Design Space Exploration for FPGA-based CNN Accelerators
W Lu, W Lu, J Ye, Y Hu, X Li
2017 27th International Conference on Field Programmable Logic and …, 2017
22017
MLA: Machine Learning Adaptation for Realtime Streaming Financial Applications
J Wu, W Lu, G Yan, X Li
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