Yu Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Nearest Neighbor

Approximate String Matching

Content Addressable Memory

Top Venues

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

Publications

Xiaofei Liao, Wen-Ju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. J. Comput. Sci. Technol. 39 (2) (2024)
Huize Li, Hai Jin, Long Zheng, Xiaofei Liao, Yu Huang, Cong Liu, Jiahong Xu, Zhuohui Duan, Dan Chen, Chuangyi Gui
CPSAA: Accelerating Sparse Attention Using Crossbar-Based Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Long Zheng, Ao Hu, Qinggang Wang, Yu Huang, Haoqin Huang, Pengcheng Yao, Shuyi Xiong, Xiaofei Liao, Hai Jin
PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue
Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. ISCA (2024)
Xinyang Shen, Xiaofei Liao, Long Zheng, Yu Huang, Dan Chen, Hai Jin
ARCHER: a ReRAM-based accelerator for compressed recommendation systems. Frontiers Comput. Sci. 18 (5) (2024)
Xinyang Shen, Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin
A heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems. CCF Trans. High Perform. Comput. 6 (2) (2024)
Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. ICDE (2023)
Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin
: In-Memory Acceleration for Genome Graphs Analysis. DAC (2023)
Dan Chen, Haiheng He, Hai Jin, Long Zheng, Yu Huang, Xinyang Shen, Xiaofei Liao
MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing. ISCA (2023)
Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, Wenbin Jiang
Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. IEEE Trans. Computers 72 (9) (2023)
Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue
Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. ISCA (2023)
Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin
FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. FPGA (2023)
Haiheng He, Dan Chen, Long Zheng, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, Hai Jin
GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. IPDPS (2023)
Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. IPDPS (2022)
Long Zheng, Haifeng Liu, Yu Huang, Dan Chen, Chaoqiang Liu, Haiheng He, Xiaofei Liao, Hai Jin, Jingling Xue
A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao
ReCSA: a dedicated sort accelerator using ReRAM-based content addressable memory. Frontiers Comput. Sci. 17 (2) (2022)
Yufei Sun, Long Zheng, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores. HPEC (2022)
Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue
A Data-Centric Accelerator for High-Performance Hypergraph Processing. MICRO (2022)
Dan Chen, Chuangyi Gui, Yi Zhang, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao
GraphFly: Efficient Asynchronous Streaming Graphs Processing via Dependency-Flow. SC (2022)
Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Zhuohui Duan, Dan Chen, Chuangyi Gui
ReSMA: accelerating approximate string matching using ReRAM-based content addressable memory. DAC (2022)
Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Dan Chen, Zhuohui Duan, Cong Liu, Jiahong Xu, Chuangyi Gui
CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture. CoRR (2022)
Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue
Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. HPCA (2022)
Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Pengcheng Yao, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue
ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. HPCA (2022)
Qinggang Wang, Long Zheng, Jingrui Yuan, Yu Huang, Pengcheng Yao, Chuangyi Gui, Ao Hu, Xiaofei Liao, Hai Jin
Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling. HPCA (2022)
Qinggang Wang, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubing Mao
GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing. FPGA (2021)
Jie Xin, Xianqi Ye, Long Zheng, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin
Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration. HPEC (2021)
Pengcheng Yao, Long Zheng, Zhen Zeng, Yu Huang, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue
A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. MICRO (2020)
Long Zheng, Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao, Hai Jin
Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications. IPDPS (2020)
Yu Huang, Long Zheng, Pengcheng Yao, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue
A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. IPDPS (2020)
Long Zheng, Xianliang Li, Yaohui Zheng, Yu Huang, Xiaofei Liao, Hai Jin, Jingling Xue, Zhiyuan Shao, Qiang-Sheng Hua
Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential Scheduling. USENIX Annual Technical Conference (2020)
Xiaofei Liao, Yu Huang, Long Zheng, Hai Jin
Efficient Time-Evolving Stream Processing at Scale. IEEE Trans. Parallel Distributed Syst. 30 (10) (2019)
Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin, Pengcheng Yao, Chuangyi Gui
RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. DATE (2019)
Yu Huang
Efficient Time-Evolving Stream Processing at Scale. CoRR (2018)