Dengke Han

18 papers A* 1A 2C 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Systematic Characterization of LLM Inference on GPUs.
CoRR
Haonan Wang, Xuxin Xiao, Mingyu Yan, Zhuoyuan Zhu, Dengke Han, Duo Wang, Wenming Li, Xiaochun Ye, Cunchen Hu, Hongyang Chen, Guangyu Sun
2025 J jnl
Accelerating GNN Training through Locality-aware Dropout and Merge.
CoRR
Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Duo Wang, Xiaochun Ye, Dongrui Fan
2025 J jnl
Characterizing and Understanding HGNN Training on GPUs.
ACM Trans. Archit. Code Optim.
Dengke Han, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2025 A conf
LiGNN: Accelerating GNN Training Through Locality-Aware Dropout.
DATE
Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Xiaochun Ye, Dongrui Fan
2025 J jnl
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Runzhen Xue, Mingyu Yan, Dengke Han, Ziheng Xiao, Zhimin Tang, Xiaochun Ye, Dongrui Fan
2025 C conf
TLV-HGNN: Thinking Like a Vertex for Memory-Efficient HGNN Inference.
ICCD
Dengke Han, Duo Wang, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2025 J jnl
TLV-HGNN: Thinking Like a Vertex for Memory-efficient HGNN Inference.
CoRR
Dengke Han, Duo Wang, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2024 — conf
ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation.
Euro-Par (2)
Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2024 J jnl
ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation.
CoRR
Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan
2024 J jnl
Characterizing and Understanding HGNN Training on GPUs.
CoRR
Dengke Han, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Ninghui Sun
2024 A* conf
GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling.
DAC
Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan
2024 J jnl
GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling.
CoRR
Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan
2024 J jnl
HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation.
IEEE Trans. Parallel Distributed Syst.
Runzhen Xue, Dengke Han, Mingyu Yan, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, Dongrui Fan
2024 J jnl
MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Xin Liu, Wenming Li, Xiaochun Ye, Dongrui Fan
2024 J jnl
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration.
CoRR
Runzhen Xue, Mingyu Yan, Dengke Han, Zhimin Tang, Xiaochun Ye, Dongrui Fan
2023 — conf
A High-accurate Multi-objective Ensemble Exploration Framework for Design Space of CPU Microarchitecture.
ACM Great Lakes Symposium on VLSI
Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Xiaochun Ye, Dongrui Fan
2023 A conf
A Transfer Learning Framework for High-Accurate Cross-Workload Design Space Exploration of CPU.
ICCAD
Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Haoran Dang, Xiaochun Ye, Dongrui Fan
2023 J jnl
HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation.
CoRR
Runzhen Xue, Dengke Han, Mingyu Yan, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, Dongrui Fan