Linnan Wang
Title
Cited by
Cited by
Year
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018
722018
Accelerating Deep Neural Network Training With Inconsistent Stochastic Gradient Descent
L Wang, Y Yang, R Min, S Chakradhar
Neural Networks 93, 219-229, 2017
462017
BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing
L Wang, W Wu, Z Xu, J Xiao, Y Yang
Proceedings of the 2016 International Conference on Supercomputing, 20, 2016
422016
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
J Ye, L Wang, G Li, D Chen, S Zhe, X Chu, Z Xu
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
332018
Alphax: exploring neural architectures with deep neural networks and monte carlo tree search
L Wang, Y Zhao, Y Jinnai, Y Tian, R Fonseca
AAAI Conference on Artificial Intelligence (AAAI 2020), 2019
182019
Efficient Communications in Training Large Scale Neural Networks
Y Zhao, L Wang, W Wu, G Bosilca, R Vuduc, J Ye, W Tang, Z Xu
112017
Warp-Consolidation: A Novel Execution Model for GPUs
A Li, W Liu, L Wang, K Barker, SL Song
Proceedings of the 2018 International Conference on Supercomputing, 2018
102018
Adapt: An event-based adaptive collective communication framework
X Luo, W Wu, G Bosilca, T Patinyasakdikul, L Wang, J Dongarra
Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018
92018
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization
G Li, Z Xu, L Wang, J Ye, I King, M Lyu
Neural Networks (IJCNN), 2017 International Joint Conference on, 2017
82017
Large Scale Artificial Neural Network Training Using Multi-GPUs
L Wang, W Wu, J Xiao, Y Yi
Supercomputing 16, 2016
72016
Sample-Efficient Neural Architecture Search by Learning Action Space
L Wang, S Xie, T Li, R Fonseca, Y Tian
arXiv preprint arXiv:1906.06832, 2019
52019
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
L Wang, R Fonseca, Y Tian
arXiv preprint arXiv:2007.00708, 2020
2020
SuperNeurons: FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks
L Wang, W Wu, J Zhang, H Liu, G Bosilca, M Herlihy, R Fonseca
Proceedings of the 29th International Symposium on High-Performance Parallel …, 2020
2020
Few-shot Neural Architecture Search
Y Zhao, L Wang, Y Tian, R Fonseca, T Guo
arXiv preprint arXiv:2006.06863, 2020
2020
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