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MingYu Yan
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Hygcn: A gcn accelerator with hybrid architecture
M Yan, L Deng, X Hu, L Liang, Y Feng, X Ye, Z Zhang, D Fan, Y Xie
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
3092020
Sampling methods for efficient training of graph convolutional networks: A survey
X Liu, M Yan, L Deng, G Li, X Ye, D Fan
IEEE/CAA Journal of Automatica Sinica 9 (2), 205-234, 2021
962021
Alleviating irregularity in graph analytics acceleration: A hardware/software co-design approach
M Yan, X Hu, S Li, A Basak, H Li, X Ma, I Akgun, Y Feng, P Gu, L Deng, ...
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
89*2019
Simple and efficient heterogeneous graph neural network
X Yang, M Yan, S Pan, X Ye, D Fan
Proceedings of the AAAI conference on artificial intelligence 37 (9), 10816 …, 2023
762023
Characterizing and understanding GCNs on GPU
M Yan, Z Chen, L Deng, X Ye, Z Zhang, D Fan, Y Xie
IEEE Computer Architecture Letters 19 (1), 22-25, 2020
612020
Rubik: A hierarchical architecture for efficient graph neural network training
X Chen, Y Wang, X Xie, X Hu, A Basak, L Liang, M Yan, L Deng, Y Ding, ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021
58*2021
Survey on graph neural network acceleration: An algorithmic perspective
X Liu, M Yan, L Deng, G Li, X Ye, D Fan, S Pan, Y Xie
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
362022
fuseGNN: Accelerating graph convolutional neural network training on GPGPU
Z Chen, M Yan, M Zhu, L Deng, G Li, S Li, Y Xie
Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020
202020
A comprehensive survey on distributed training of graph neural networks
H Lin, M Yan, X Ye, D Fan, S Pan, W Chen, Y Xie
Proceedings of the IEEE, 2023
172023
Fast search of the optimal contraction sequence in tensor networks
L Liang, J Xu, L Deng, M Yan, X Hu, Z Zhang, G Li, Y Xie
IEEE Journal of Selected Topics in Signal Processing 15 (3), 574-586, 2021
132021
Characterizing and understanding HGNNs on GPUs
M Yan, M Zou, X Yang, W Li, X Ye, D Fan, Y Xie
IEEE Computer Architecture Letters 21 (2), 69-72, 2022
112022
GNNSampler: Bridging the gap between sampling algorithms of GNN and hardware
X Liu, M Yan, S Song, Z Lv, W Li, G Sun, X Ye, D Fan
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
102022
General spiking neural network framework for the learning trajectory from a noisy mmwave radar
X Liu, M Yan, L Deng, Y Wu, D Han, G Li, X Ye, D Fan
Neuromorphic Computing and Engineering 2 (3), 034013, 2022
82022
Characterizing and understanding distributed GNN training on GPUs
H Lin, M Yan, X Yang, M Zou, W Li, X Ye, D Fan
IEEE Computer Architecture Letters 21 (1), 21-24, 2022
82022
Multi-node acceleration for large-scale GCNs
G Sun, M Yan, D Wang, H Li, W Li, X Ye, D Fan, Y Xie
IEEE Transactions on Computers 71 (12), 3140-3152, 2022
62022
Hardware acceleration for GCNs via bidirectional fusion
H Li, M Yan, X Yang, L Deng, W Li, X Ye, D Fan, Y Xie
IEEE Computer Architecture Letters 20 (1), 66-4, 2021
62021
HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation
R Xue, D Han, M Yan, M Zou, X Yang, D Wang, W Li, Z Tang, J Kim, X Ye, ...
IEEE Transactions on Parallel and Distributed Systems, 2024
32024
A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives
Z Lv, M Yan, X Liu, M Dong, X Ye, D Fan, N Sun
arXiv preprint arXiv:2309.07581, 2023
32023
A high-accurate multi-objective ensemble exploration framework for design space of CPU microarchitecture
D Wang, M Yan, Y Teng, D Han, X Ye, D Fan
Proceedings of the Great Lakes Symposium on VLSI 2023, 379-383, 2023
32023
RISC-NN: Use RISC, NOT CISC as neural network hardware infrastructure
T Xiang, L Zhang, S An, X Ye, M Zhang, Y Liu, M Yan, D Wang, H Zhang, ...
arXiv preprint arXiv:2103.12393, 2021
32021
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