default search action
Long 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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, Hai-Feng 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) - [c37]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 - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint