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ORCIDLong Zheng 0003
Person information
- affiliation (PhD 2016): Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- not to be confused with: Long Zheng 0001
Other persons with the same name
- Long Zheng — disambiguation page
- Long Zheng 0001 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China (and 2 more)
- Long Zheng 0002 — University of Louisville, Industrial Engineering, KY, USA
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2020 – today
- 2024
[j33]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): 150-163 (2024)- [j32]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): 185607 (2024) - [j31]Long Zheng, Yang Li, Jie Xin, Haifeng Liu, Ran Zheng, Xiaofei Liao, Hai Jin:
Minimal Context-Switching Data Race Detection with Dataflow Tracking. J. Comput. Sci. Technol. 39(2): 211-226 (2024) - [j30]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): 245-266 (2024) - [j29]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): 1318-1331 (2024) - [j28]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): 1360-1373 (2024) - [j27]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): 1741-1754 (2024) - [j26]Chaoqiang Liu, Xiaofei Liao, Long Zheng, Yu Huang, Haifeng Liu, Yi Zhang, Haiheng He, Haoyan Huang, Jingyi Zhou, Hai Jin:
L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform. ACM Trans. Reconfigurable Technol. Syst. 17(3): 46:1-46:29 (2024) - [c41]Haoqin Huang, Pengcheng Yao, Zhaozeng An, Yufei Sun, Ao Hu, Peng Xu, Long Zheng, Xiaofei Liao, Hai Jin:
SpaHet: A Software/Hardware Co-design for Accelerating Heterogeneous-Sparsity based Sparse Matrix Multiplication. DAC 2024: 202:1-202:6 - [c40]Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. DAC 2024: 203:1-203:6 - [c39]Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin:
Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. DAC 2024: 255:1-255:6 - [c38]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: 382-395 - [c37]Qinggang Wang, Long Zheng, Zhaozeng An, Shuyi Xiong, Runze Wang, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs. MICRO 2024: 437-450 - 2023
- [j25]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: 98-113 (2023) - [j24]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): 2628-2640 (2023) - [j23]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): 4985-4998 (2023) - [c36]Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin:
MeG2: In-Memory Acceleration for Genome Graphs Analysis. DAC 2023: 1-6 - [c35]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: 67-77 - [c34]Zhibin Wang, Ziheng Meng, Xue Li, Xi Lin, Long Zheng, Chen Tian, Sheng Zhong:
SMOG: Accelerating Subgraph Matching on GPUs. HPEC 2023: 1-7 - [c33]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: 53-66 - [c32]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: 13-24 - [c31]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: 56:1-56:13 - [c30]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: 66:1-66:13 - [c29]Chuangyi Gui, Xiaofei Liao, Long Zheng, Hai Jin:
Cyclosa: Redundancy-Free Graph Pattern Mining via Set Dataflow. USENIX ATC 2023: 71-85 - 2022
- [j22]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): 172103 (2022) - [j21]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): 1247-1258 (2022) - [j20]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): 3567-3578 (2022) - [j19]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): 3745-3756 (2022) - [c28]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: 991-996 - [c27]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: 184-198 - [c26]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: 199-212 - [c25]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: 1029-1042 - [c24]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: 1-7 - [c23]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: 1-7 - [c22]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: 773-787 - [c21]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: 246-257 - [c20]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: 1326-1341 - [c19]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: 45:1-45:14 - [i3]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 abs/2210.06696 (2022) - 2021
- [j18]Minyi Guo, Guihai Chen, Xiaofei Liao, Long Zheng:
Editorial for the special issue on high performance distributed computing. CCF Trans. High Perform. Comput. 3(2): 127-128 (2021) - [j17]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): 1051-1070 (2021) - [j16]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): 590-602 (2021) - [c18]Chuangyi Gui, Xiaofei Liao, Long Zheng, Pengcheng Yao, Qinggang Wang, Hai Jin:
SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction. PACT 2021: 318-330 - [c17]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: 149-159 - [c16]Runze Wang, Linchen Yu, Qinggang Wang, Jie Xin, Long Zheng:
Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra. HPEC 2021: 1-7 - [c15]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: 1-7 - 2020
- [j15]Haoqiang Liu, Qiang-Sheng Hua, Hai Jin, Long Zheng:
ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost. IEEE Access 8: 116605-116616 (2020) - [j14]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): 362-375 (2020) - [j13]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) - [j12]Chengbo Yang, Long Zheng, Chuangyi Gui, Hai Jin:
Efficient FPGA-based graph processing with hybrid pull-push computational model. Frontiers Comput. Sci. 14(4): 144102 (2020) - [j11]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): 14:1-14:26 (2020) - [j10]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): 4030-4041 (2020) - [c14]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: 684-695 - [c13]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: 696-707 - [c12]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: 895-907 - [c11]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 ATC 2020: 573-588
2010 – 2019
- 2019
- [j9]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): 339-371 (2019) - [j8]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): 11:1-11:26 (2019) - [j7]Xiaofei Liao, Yu Huang, Long Zheng, Hai Jin:
Efficient Time-Evolving Stream Processing at Scale. IEEE Trans. Parallel Distributed Syst. 30(10): 2165-2178 (2019) - [c10]Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin, Pengcheng Yao, Chuangyi Gui:
RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. DATE 2019: 1273-1276 - [c9]Chuangyi Gui, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin:
Fast Triangle Counting on GPU. HPEC 2019: 1-7 - [i2]Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin:
A Survey on Graph Processing Accelerators: Challenges and Opportunities. CoRR abs/1902.10130 (2019) - 2018
- [j6]Long Zheng, Xiaofei Liao, Hai Jin:
Efficient and Scalable Graph Parallel Processing With Symbolic Execution. ACM Trans. Archit. Code Optim. 15(1): 3:1-3:25 (2018) - [j5]Peng Luo, Deqing Zou, Hai Jin, Yajuan Du, Long Zheng, Jinan Shen:
DigHR: precise dynamic detection of hidden races with weak causal relation analysis. J. Supercomput. 74(6): 2684-2704 (2018) - [j4]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): 2599-2612 (2018) - [c8]Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He:
An efficient graph accelerator with parallel data conflict management. PACT 2018: 8:1-8:12 - [c7]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: 26:1-26:13 - [c6]Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang:
Scalable concurrency debugging with distributed graph processing. CGO 2018: 188-199 - 2017
- [j3]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): 3443-3457 (2017) - [c5]Hai Jin, Pengcheng Yao, Xiaofei Liao, Long Zheng, Xianliang Li:
Towards Dataflow-Based Graph Accelerator. ICDCS 2017: 1981-1992 - [c4]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: 26:1-26:10 - 2016
- [j2]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): 1889-1901 (2016) - [c3]Tie Du, Long Zheng, Shaopeng Chen, Hai Jin:
Automatic Security Bug Classification: A Compile-Time Approach. ICPADS 2016: 398-405 - 2015
- [j1]Long Zheng, Xiaofei Liao, Song Wu, Xuepeng Fan, Hai Jin:
Understanding and identifying latent data races cross-thread interleaving. Frontiers Comput. Sci. 9(4): 524-539 (2015) - [c2]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: 56-67 - 2014
- [c1]Jie Sun, Xiaofei Liao, Long Zheng, Hai Jin, Yu Zhang:
esDMT: Efficient and scalable deterministic multithreading through memory isolation. ICPADS 2014: 79-86 - [i1]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 abs/1412.4480 (2014)
Coauthor Index
[j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c41] [c40] [c39] [c38] [c37] [j25] [j24] [j23] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [j22] [j21] [j20] [j19] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i3] [j17] [j16] [c18] [c17] [c15] [j15] [j14] [j13] [j12] [j11] [j10] [c14] [c13] [c12] [c11] [j9] [j8] [j7] [c10] [c9] [i2] [j6] [j5] [j4] [c8] [c7] [c6] [j3] [c5] [c4] [j2] [c3] [j1] [c2] [c1] [i1]
[j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c41] [c40] [c39] [c38] [c37] [j24] [j23] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [j22] [j21] [j20] [j19] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i3] [j18] [j17] [j16] [c18] [c17] [c15] [j14] [j13] [j11] [j10] [c14] [c13] [c12] [c11] [j9] [j8] [j7] [c10] [c9] [i2] [j6] [j4] [c8] [c7] [c6] [j3] [c5] [c4] [j2] [j1] [c2] [c1] [i1]
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