Dengke Han

According to our database, Dengke Han authored at least 14 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Systematic Characterization of LLM Inference on GPUs.

Haonan Wang, Xuxin Xiao, Mingyu Yan, Zhuoyuan Zhu, Dengke Han, Duo Wang, Wenming Li, Xiaochun Ye, Cunchen Hu, Hongyang Chen, Guangyu Sun

CoRR, December, 2025

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration.

Runzhen Xue, Mingyu Yan, Dengke Han, Ziheng Xiao, Zhimin Tang, Xiaochun Ye, Dongrui Fan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2025

Accelerating GNN Training through Locality-aware Dropout and Merge.

Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Duo Wang, Xiaochun Ye, Dongrui Fan

CoRR, June, 2025

Characterizing and Understanding HGNN Training on GPUs.

Dengke Han, Mingyu Yan, Xiaochun Ye, Dongrui Fan

ACM Trans. Archit. Code Optim., March, 2025

TLV-HGNN: Thinking Like a Vertex for Memory-Efficient HGNN Inference.

Dengke Han, Duo Wang, Mingyu Yan, Xiaochun Ye, Dongrui Fan

Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

LiGNN: Accelerating GNN Training Through Locality-Aware Dropout.

Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Xiaochun Ye, Dongrui Fan

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation.

Runzhen Xue, Dengke Han, Mingyu Yan, Mo Zou, Xiaocheng Yang, Duo Wang, Wenming Li, Zhimin Tang, John Kim, Xiaochun Ye, Dongrui Fan

IEEE Trans. Parallel Distributed Syst., July, 2024

MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures.

Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Xin Liu, Wenming Li, Xiaochun Ye, Dongrui Fan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration.

Runzhen Xue, Mingyu Yan, Dengke Han, Zhimin Tang, Xiaochun Ye, Dongrui Fan

CoRR, 2024

Characterizing and Understanding HGNN Training on GPUs.

Dengke Han, Mingyu Yan, Xiaochun Ye, Dongrui Fan, Ninghui Sun

CoRR, 2024

ADE-HGNN: Accelerating HGNNs Through Attention Disparity Exploitation.

Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling.

Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

A Transfer Learning Framework for High-Accurate Cross-Workload Design Space Exploration of CPU.

Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Haoran Dang, Xiaochun Ye, Dongrui Fan

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

A High-accurate Multi-objective Ensemble Exploration Framework for Design Space of CPU Microarchitecture.

Duo Wang, Mingyu Yan, Yihan Teng, Dengke Han, Xiaochun Ye, Dongrui Fan

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023