Haifeng Liu

According to our database, Haifeng Liu authored at least 13 papers between 2022 and 2024.

Collaborative distances:

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

2024

L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform.

Chaoqiang Liu, Xiaofei Liao, Long Zheng, Yu Huang, Haifeng Liu, Yi Zhang, Haiheng He, Haoyan Huang, Jingyi Zhou, Hai Jin

ACM Trans. Reconfigurable Technol. Syst., September, 2024

An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures.

Runze Wang, Ao Hu, Long Zheng, Qinggang Wang, Jingrui Yuan, Haifeng Liu, Linchen Yu, Xiaofei Liao, Hai Jin

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

Minimal Context-Switching Data Race Detection with Dataflow Tracking.

Long Zheng, Yang Li, Jie Xin, Haifeng Liu, Ran Zheng, Xiaofei Liao, Hai Jin

J. Comput. Sci. Technol., March, 2024

Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing.

Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing.

Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin

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

2023

Accelerating Personalized Recommendation with Cross-level Near-Memory Processing.

Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models.

Haiheng He, Dan Chen, Long Zheng, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, Hai Jin

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems.

Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction.

Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

MeG²: In-Memory Acceleration for Genome Graphs Analysis.

Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures.

Long Zheng, Haifeng Liu, Yu Huang, Dan Chen, Chaoqiang Liu, Haiheng He, Xiaofei Liao, Hai Jin, Jingling Xue

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks.

Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures.

Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022