Long Zheng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 66

Top Topics

Stream Processing

Content Addressable

Top Venues

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

J. Comput. Sci. Technol.

Publications

Long Zheng, Yang Li, Jie Xin, Hai-Feng Liu, Ran Zheng, Xiaofei Liao, Hai Jin
Minimal Context-Switching Data Race Detection with Dataflow Tracking. J. Comput. Sci. Technol. 39 (2) (2024)
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)
Long Zheng, Yang Li, Jie Xin, Hai-Feng Liu, Ran Zheng, Xiaofei Liao, Hai Jin
Minimal Context-Switching Data Race Detection with Dataflow Tracking. J. Comput. Sci. Technol. 39 (1) (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)
Runze Wang, Ao Hu, Long Zheng, Qinggang Wang, Jingrui Yuan, Haifeng Liu, Linchen Yu, Xiaofei Liao, Hai Jin
An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Fubing Mao, Yapu Guo, Xiaofei Liao, Hai Jin, Wei Zhang, Haikun Liu, Long Zheng, Xu Liu, Zihan Jiang, Xiaohua Zheng
Accelerating Loop-Oriented RTL Simulation With Code Instrumentation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (12) (2023)
Chuangyi Gui, Xiaofei Liao, Long Zheng, Hai Jin
Cyclosa: Redundancy-Free Graph Pattern Mining via Set Dataflow. USENIX Annual Technical Conference (2023)
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)
Wenbin Jiang, Yuhao Chen, Suyang Wen, Long Zheng, Hai Jin
PDAS: Improving network pruning based on Progressive Differentiable Architecture Search for DNNs. Future Gener. Comput. Syst. 146 (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)
Ran Zheng, Yingxin Jiang, Yibo Wang, Yongbo Su, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin
An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy. ICA3PP (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)
Shaoxian Xu, Minkang Wu, Long Zheng, Zhiyuan Shao, Xiangyu Ye, Xiaofei Liao, Hai Jin
Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute Model. HPEC (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)
Fan Zhang, Long Zheng, Xiaofei Liao, Xinqiao Lv, Hai Jin, Jiang Xiao
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs. IEEE Trans. Big Data 8 (5) (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)
Long Zheng, Xianliang Li, Xi Ge, Xiaofei Liao, Zhiyuan Shao, Hai Jin, Qiang-Sheng Hua
Efficient Graph Processing with Invalid Update Filtration. IEEE Trans. Big Data 7 (3) (2021)
Chuangyi Gui, Xiaofei Liao, Long Zheng, Pengcheng Yao, Qinggang Wang, Hai Jin
SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction. PACT (2021)
Runze Wang, Linchen Yu, Qinggang Wang, Jie Xin, Long Zheng
Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra. HPEC (2021)
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)
Yu-Wei Wu, Qinggang Wang, Long Zheng, Xiaofei Liao, Hai Jin, Wenbin Jiang, Ran Zheng, Kan Hu
FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers. J. Comput. Sci. Technol. 36 (5) (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)
Qingxiang Chen, Long Zheng, Xiaofei Liao, Hai Jin, Qinggang Wang
Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture. CCF Trans. High Perform. Comput. 2 (4) (2020)
Haoqiang Liu, Qiang-Sheng Hua, Hai Jin, Long Zheng
ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost. IEEE Access 8 (2020)
Qinggang Wang, Long Zheng, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue
A Conflict-free Scheduler for High-performance Graph Processing on Multi-pipeline FPGAs. ACM Trans. Archit. Code Optim. 17 (2) (2020)
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)
Chengbo Yang, Long Zheng, Chuangyi Gui, Hai Jin
Efficient FPGA-based graph processing with hybrid pull-push computational model. Frontiers Comput. Sci. 14 (4) (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)
Xiaofei Liao, Long Zheng, Binsheng Zhang, Yu Zhang, Hai Jin, Xuanhua Shi, Yi Lin
Dynamic cluster strategy for hierarchical rollback-recovery protocols in MPI HPC applications. Concurr. Comput. Pract. Exp. 32 (3) (2020)
Huize Li, Hai Jin, Long Zheng, Xiaofei Liao
ReSQM: Accelerating Database Operations Using ReRAM-Based Content Addressable Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (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)
Chuangyi Gui, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin
Fast Triangle Counting on GPU. HPEC (2019)
Xiaofei Liao, Yu Huang, Long Zheng, Hai Jin
Efficient Time-Evolving Stream Processing at Scale. IEEE Trans. Parallel Distributed Syst. 30 (10) (2019)
Xiaoyuan Wang, Haikun Liu, Xiaofei Liao, Ji Chen, Hai Jin, Yu Zhang, Long Zheng, Bingsheng He, Song Jiang
Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. ACM Trans. Archit. Code Optim. 16 (2) (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)
Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin
A Survey on Graph Processing Accelerators: Challenges and Opportunities. CoRR (2019)
Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin
A Survey on Graph Processing Accelerators: Challenges and Opportunities. J. Comput. Sci. Technol. 34 (2) (2019)
Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He
An efficient graph accelerator with parallel data conflict management. PACT (2018)
Xiaofei Liao, Minhao Lin, Long Zheng, Hai Jin, Zhiyuan Shao
Scalable Data Race Detection for Lock-Intensive Programs with Pending Period Representation. IEEE Trans. Parallel Distributed Syst. 29 (11) (2018)
Long Zheng, Xiaofei Liao, Hai Jin
Efficient and Scalable Graph Parallel Processing With Symbolic Execution. ACM Trans. Archit. Code Optim. 15 (1) (2018)
Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang
Scalable concurrency debugging with distributed graph processing. CGO (2018)
Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He, Jingling Xue, Haikun Liu
Towards concurrency race debugging: an integrated approach for constraint solving and dynamic slicing. PACT (2018)
Long Zheng, Xiaofei Liao, Hai Jin, Haikun Liu
Exploiting the Parallelism Between Conflicting Critical Sections with Partial Reversion. IEEE Trans. Parallel Distributed Syst. 28 (12) (2017)
Hai Jin, Pengcheng Yao, Xiaofei Liao, Long Zheng, Xianliang Li
Towards Dataflow-Based Graph Accelerator. ICDCS (2017)
Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo
Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures. ICS (2017)
Tie Du, Long Zheng, Shaopeng Chen, Hai Jin
Automatic Security Bug Classification: A Compile-Time Approach. ICPADS (2016)
Xiaofei Liao, Long Zheng, Bingsheng He, Song Wu, Hai Jin
A Performance Debugging Framework for Unnecessary Lock Contentions with Record/Replay Techniques. IEEE Trans. Parallel Distributed Syst. 27 (7) (2016)
Long Zheng, Xiaofei Liao, Song Wu, Xuepeng Fan, Hai Jin
Understanding and identifying latent data races cross-thread interleaving. Frontiers Comput. Sci. 9 (4) (2015)
Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin
On performance debugging of unnecessary lock contentions on multicore processors: a replay-based approach. CGO (2015)
Jie Sun, Xiaofei Liao, Long Zheng, Hai Jin, Yu Zhang
esDMT: Efficient and scalable deterministic multithreading through memory isolation. ICPADS (2014)
Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin
On Performance Debugging of Unnecessary Lock Contentions on Multicore Processors: A Replay-based Approach. CoRR (2014)