MingYu Yan
Title
Cited by
Cited by
Year
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
432020
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
202019
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
162020
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
22021
Rubik: A hierarchical architecture for efficient graph learning
X Chen, Y Wang, X Xie, X Hu, A Basak, L Liang, M Yan, L Deng, Y Ding, ...
arXiv preprint arXiv:2009.12495, 2020
22020
Balancing memory accesses for energy-efficient graph analytics accelerators
M Yan, X Hu, S Li, I Akgun, H Li, X Ma, L Deng, X Ye, Z Zhang, D Fan, ...
2019 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2019
22019
Sampling methods for efficient training of graph convolutional networks: A survey
X Liu, M Yan, L Deng, G Li, X Ye, D Fan
arXiv preprint arXiv:2103.05872, 2021
12021
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
2021
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
2021
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
2021
fuseGNN: accelerating graph convolutional neural network training on GPGPU
Z Chen, M Yan, M Zhu, L Deng, G Li, S Li, Y Xie
2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020
2020
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