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2023
[j123]
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Chong Tian, Haikun Liu, Xiaofei Liao, Hai Jin:
UCat: heterogeneous memory management for unikernels. Frontiers Comput. Sci. 17(1): 171204 (2023)
[j122]
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Hai Jin, Shuo Wei, Yan Sha, Chencheng Ye, Haikun Liu, Xiaofei Liao:
PMLiteDB: Streamlining Access Paths for High-Performance Persistent Memory Document Database Systems. IEEE Trans. Computers 72(6): 1778-1791 (2023)
[j121]
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Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang:
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. IEEE Trans. Knowl. Data Eng. 35(6): 5823-5836 (2023)
[c169]
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  - conf/asplos/DuanYLL0023
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Zhuohui Duan, Jiabo Yao, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang:
Revisiting Log-Structured Merging for KV Stores in Hybrid Memory Systems. ASPLOS (2) 2023: 674-687
[c168]
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Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin:
SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory. ASPLOS (2) 2023: 762-777
[c167]
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  - conf/fpga/LiuL00YL023
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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
[c166]
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Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin:
Reconciling Selective Logging and Hardware Persistent Memory Transaction. HPCA 2023: 664-676
2022
[j120]
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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)
[j119]
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Hui Yu, Xinyu Jiang, Jin Zhao, Hao Qi, Yu Zhang, Xiaofei Liao, Haikun Liu, Fubing Mao, Hai Jin:
Toward High-Performance Delta-Based Iterative Processing with a Group-Based Approach. J. Comput. Sci. Technol. 37(4): 797-813 (2022)
[j118]
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Chencheng Ye, Yuanchao Xu, Xipeng Shen, Hai Jin, Xiaofei Liao, Yan Solihin:
Preserving Addressability Upon GC-Triggered Data Movements on Non-Volatile Memory. ACM Trans. Archit. Code Optim. 19(2): 28:1-28:26 (2022)
[j117]
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Xiaofei Liao, Zhan Zhang, Haikun Liu, Hai Jin:
Improving Bank-Level Parallelism for In-Memory Checkpointing in Hybrid Memory Systems. IEEE Trans. Big Data 8(2): 289-301 (2022)
[j116]
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Beibei Si, Yuxuan Liang, Jin Zhao, Yu Zhang, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu:
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. IEEE Trans. Big Data 8(5): 1182-1194 (2022)
[j115]
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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)
[j114]
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Xiaofei Liao, Jin Zhao, Yu Zhang, Bingsheng He, Ligang He, Hai Jin, Lin Gu:
A Structure-Aware Storage Optimization for Out-of-Core Concurrent Graph Processing. IEEE Trans. Computers 71(7): 1612-1625 (2022)
[j113]
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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)
[j112]
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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)
[j111]
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Haikun Liu, Jiahong Xu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao:
A Simulation Framework for Memristor-Based Heterogeneous Computing Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5476-5488 (2022)
[j110]
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Hai Jin, Cong Liu, Haikun Liu, Ruikun Luo, Jiahong Xu, Fubing Mao, Xiaofei Liao:
ReHy: A ReRAM-Based Digital/Analog Hybrid PIM Architecture for Accelerating CNN Training. IEEE Trans. Parallel Distributed Syst. 33(11): 2872-2884 (2022)
[j109]
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Shaoxian Xu, Zhiyuan Shao, Ci Yang, Xiaofei Liao, Hai Jin:
Accelerating Backward Aggregation in GCN Training With Execution Path Preparing on GPUs. IEEE Trans. Parallel Distributed Syst. 33(12): 4891-4902 (2022)
[c165]
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Cong Liu, Haikun Liu, Hai Jin, Xiaofei Liao, Yu Zhang, Zhuohui Duan, Jiahong Xu, Huize Li:
ReGNN: a ReRAM-based heterogeneous architecture for general graph neural networks. DAC 2022: 469-474
[c164]
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Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao:
CLIMBER: defending phase change memory against inconsistent write attacks. DAC 2022: 799-804
[c163]
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  - conf/dac/Li000LDCG22
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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
[c162]
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  - conf/hpca/WangZYHYGHLJ22
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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
[c161]
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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
[c160]
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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
[c159]
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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
[c158]
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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
[c157]
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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
[c156]
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Mingzhe Liu, Haikun Liu, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Ran Zheng, Liting Hu:
Towards low-latency I/O services for mixed workloads using ultra-low latency SSDs. ICS 2022: 13:1-13:12
[c155]
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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
[c154]
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Fuping Niu, Jianhui Yue, Jiangqiu Shen, Xiaofei Liao, Haikun Liu, Hai Jin:
FlashWalker: An In-Storage Accelerator for Graph Random Walks. IPDPS 2022: 1063-1073
[c153]
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Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu:
TDGraph: a topology-driven accelerator for high-performance streaming graph processing. ISCA 2022: 116-129
[c152]
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Jinyuan Hu, Haikun Liu, Hai Jin, Xiaofei Liao:
Design and Simulation of Multi-tiered Heterogeneous Memory Architecture. MASCOTS 2022: 113-120
[c151]
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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
[c150]
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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
[i9]
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  - journals/corr/abs-2204-02662
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Shaoxian Xu, Zhiyuan Shao, Ci Yang, Xiaofei Liao, Hai Jin:
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs. CoRR abs/2204.02662 (2022)
[i8]
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Zixiao Wang, Yuluo Guo, Jin Zhao, Yu Zhang, Hui Yu, Xiaofei Liao, Hai Jin, Biao Wang, Ting Yu:
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction. CoRR abs/2210.01301 (2022)
[i7]
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  - journals/corr/abs-2210-06696
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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
[j108]
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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)
[j107]
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Tingting Chen, Haikun Liu, Xiaofei Liao, Hai Jin:
Resource abstraction and data placement for distributed hybrid memory pool. Frontiers Comput. Sci. 15(3): 153103 (2021)
[j106]
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Haikun Liu, Di Chen, Hai Jin, Xiaofei Liao, Binsheng He, Kan Hu, Yu Zhang:
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions. J. Comput. Sci. Technol. 36(1): 4-32 (2021)
[j105]
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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)
[j104]
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Haixiang Hou, Hai Jin, Xiaofei Liao:
Cost Efficient Edge Service Placement for Crowdsensing via Bus Passengers. Mob. Networks Appl. 26(2): 899-908 (2021)
[j103]
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  - journals/taco/ZhangPLJLGH21
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Yu Zhang, Da Peng, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu, Bingsheng He:
LargeGraph: An Efficient Dependency-Aware GPU-Accelerated Large-Scale Graph Processing. ACM Trans. Archit. Code Optim. 18(4): 58:1-58:24 (2021)
[j102]
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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)
[j101]
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Pai Chen, Jianhui Yue, Xiaofei Liao, Hai Jin:
Trade-off Between Hit Rate and Hit Latency for Optimizing DRAM Cache. IEEE Trans. Emerg. Top. Comput. 9(1): 55-64 (2021)
[j100]
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Hongbo Jiang, Wenping Liu, Guoyin Jiang, Yufu Jia, Xingjun Liu, Zhicheng Lui, Xiaofei Liao, Jing Xing, Daibo Liu:
Fly-Navi: A Novel Indoor Navigation System With On-the-Fly Map Generation. IEEE Trans. Mob. Comput. 20(9): 2820-2834 (2021)
[j99]
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Shuai Huang, Kun Zhao, Zhengqi Zheng, Wenqing Ji, Tianyi Li, Xiaofei Liao:
An Optimized Fingerprinting-Based Indoor Positioning with Kalman Filter and Universal Kriging for 5G Internet of Things. Wirel. Commun. Mob. Comput. 2021: 9936706:1-9936706:10 (2021)
[c149]
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  - conf/IEEEpact/GuiLZYWJ21
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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
[c148]
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Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang:
Straggler-Aware Parallel Graph Processing in Hybrid Memory Systems. CCGRID 2021: 217-226
[c147]
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Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang:
HNGraph: Parallel Graph Processing in Hybrid Memory Based NUMA Systems. CLUSTER 2021: 388-397
[c146]
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Chenhao Liu, Zhiyuan Shao, Kexin Li, Minkang Wu, Jiajie Chen, Ruoshi Li, Xiaofei Liao, Hai Jin:
ScalaBFS: A Scalable BFS Accelerator on FPGA-HBM Platform. FPGA 2021: 147
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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
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Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu:
DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. HPCA 2021: 371-384
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Chencheng Ye, Yuanchao Xu, Xipeng Shen, Xiaofei Liao, Hai Jin, Yan Solihin:
Hardware-Based Address-Centric Acceleration of Key-Value Store. HPCA 2021: 736-748
[c142]
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Zhan Zhang, Jianhui Yue, Xiaofei Liao, Hai Jin:
Efficient Hardware Redo Logging for Secure Persistent Memory. HPCC/DSS/SmartCity/DependSys 2021: 41-48
[c141]
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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
[c140]
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Zhuohui Duan, Haikun Liu, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He:
Gengar: An RDMA-based Distributed Hybrid Memory Pool. ICDCS 2021: 92-103
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Chencheng Ye, Yuanchao Xu, Xipeng Shen, Xiaofei Liao, Hai Jin, Yan Solihin:
Supporting Legacy Libraries on Non-Volatile Memory: A User-Transparent Approach. ISCA 2021: 443-455
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Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu:
LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. SC 2021: 45
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Zhuohui Duan, Haodi Lu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Song Wu:
Hardware-supported remote persistence for distributed persistent memory. SC 2021: 91
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  - journals/corr/abs-2105-11754
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Chenhao Liu, Zhiyuan Shao, Zeke Wang, Kexin Li, Minkang Wu, Jiajie Chen, Xiaofei Liao, Hai Jin:
ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs. CoRR abs/2105.11754 (2021)
2020
[j98]
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Xiaoyuan Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang:
TLB Coalescing for Multi-Grained Page Migration in Hybrid Memory Systems. IEEE Access 8: 66304-66314 (2020)
[j97]
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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)
[j96]
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Hai Jin, Xipeng Shen, Róbert Lovas, Xiaofei Liao:
Special Issue: Graph Computing. Concurr. Comput. Pract. Exp. 32(3) (2020)
[j95]
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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)
[j94]
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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)
[j93]
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Yu Zhang, Xiaofei Liao, Lin Gu, Hai Jin, Kan Hu, Haikun Liu, Bingsheng He:
AsynGraph: Maximizing Data Parallelism for Efficient Iterative Graph Processing on GPUs. ACM Trans. Archit. Code Optim. 17(4): 29:1-29:21 (2020)
[j92]
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Haikun Liu, Renshan Liu, Xiaofei Liao, Hai Jin, Bingsheng He, Yu Zhang:
Object-Level Memory Allocation and Migration in Hybrid Memory Systems. IEEE Trans. Computers 69(9): 1401-1413 (2020)
[j91]
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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)
[j90]
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Hai Jin, Di Chen, Haikun Liu, Xiaofei Liao, Rentong Guo, Yu Zhang:
Miss Penalty Aware Cache Replacement for Hybrid Memory Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4669-4682 (2020)
[j89]
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Hai Jin, Zhiwei Li, Haikun Liu, Xiaofei Liao, Yu Zhang:
Hotspot-Aware Hybrid Memory Management for In-Memory Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 31(4): 779-792 (2020)
[j88]
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Zhiyuan Shao, Chenhao Liu, Ruoshi Li, Xiaofei Liao, Hai Jin:
Processing Grid-format Real-world Graphs on DRAM-based FPGA Accelerators with Application-specific Caching Mechanisms. ACM Trans. Reconfigurable Technol. Syst. 13(3): 11:1-11:33 (2020)
[c136]
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Zhan Zhang, Jianhui Yue, Xiaofei Liao, Hai Jin:
Efficient Hardware-Assisted Crash Consistency in Encrypted Persistent Memory. DATE 2020: 750-755
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Xiaoyuan Wang, Haikun Liu, Xiaofei Liao, Hai Jin:
Superpage-Friendly Page Table Design for Hybrid Memory Systems. ICPCSEE (1) 2020: 623-641
[c134]
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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
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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
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  - conf/iwqos/TanLRL0020
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Bo Tan, Haikun Liu, Jia Rao, Xiaofei Liao, Hai Jin, Yu Zhang:
Towards Lightweight Serverless Computing via Unikernel as a Function. IWQoS 2020: 1-10
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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
[c130]
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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: 573-588
[i5]
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Haikun Liu, Di Chen, Hai Jin, Xiaofei Liao, Bingsheng He, Kan Hu, Yu Zhang:
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions. CoRR abs/2010.04406 (2020)
[i4]
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Ruoshi Li, Hongjing Huang, Zeke Wang, Zhiyuan Shao, Xiaofei Liao, Hai Jin:
Optimizing Memory Performance of Xilinx FPGAs under Vitis. CoRR abs/2010.08916 (2020)

2010 – 2019

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2019
[j87]
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Li Lin, Peng Li, Xiaofei Liao, Hai Jin, Yu Zhang:
Echo: An Edge-Centric Code Offloading System With Quality of Service Guarantee. IEEE Access 7: 5905-5917 (2019)
[j86]
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Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang:
NGraph: Parallel Graph Processing in Hybrid Memory Systems. IEEE Access 7: 103517-103529 (2019)
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Xuepeng Fan, Xiaofei Liao, Hai Jin:
FunctionFlow: coordinating parallel tasks. Frontiers Comput. Sci. 13(1): 73-85 (2019)
[j84]
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Xinqiao Lv, Wei Xiao, Yu Zhang, Xiaofei Liao, Hai Jin, Qiang-Sheng Hua:
An effective framework for asynchronous incremental graph processing. Frontiers Comput. Sci. 13(3): 539-551 (2019)
[j83]
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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)
[j82]
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Fang Zhou, Song Wu, Youchuang Jia, Xiang Gao, Hai Jin, Xiaofei Liao, Pingpeng Yuan:
VAIL: A Victim-Aware Cache Policy to improve NVM Lifetime for hybrid memory system. Parallel Comput. 87: 70-76 (2019)
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Li Lin, Xiaofei Liao, Hai Jin, Peng Li:
Computation Offloading Toward Edge Computing. Proc. IEEE 107(8): 1584-1607 (2019)
[j80]
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Chenxi Li, Xiaofei Liao, Hai Jin:
Enhancing application performance via DAG-driven scheduling in task parallelism for cloud center. Peer-to-Peer Netw. Appl. 12(2): 381-391 (2019)
[j79]
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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)
[j78]
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Haikun Liu, Bingsheng He, Xiaofei Liao, Hai Jin:
Towards Declarative and Data-Centric Virtual Machine Image Management in IaaS Clouds. IEEE Trans. Cloud Comput. 7(4): 1124-1138 (2019)
[j77]
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Xiang Shi, Xiaofei Liao, Dayang Zheng, Hai Jin, Haikun Liu:
VMBKS: a shared memory cache system based on booting kernel in cloud. J. Supercomput. 75(1): 4-19 (2019)
[j76]
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Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He:
CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. ACM Trans. Storage 15(2): 10:1-10:26 (2019)
[j75]
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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)
[c129]
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Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, Lin Gu:
DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. ASPLOS 2019: 601-614
[c128]
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Yinuo Li, Zhiyuan Shao, Dongxiao Yu, Xiaofei Liao, Hai Jin:
Fast Maximal Clique Enumeration for Real-World Graphs. DASFAA (1) 2019: 641-658
[c127]
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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
[c126]
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Zhiyuan Shao, Ruoshi Li, Diqing Hu, Xiaofei Liao, Hai Jin:
Improving Performance of Graph Processing on FPGA-DRAM Platform by Two-level Vertex Caching. FPGA 2019: 320-329
[c125]
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Chuangyi Gui, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin:
Fast Triangle Counting on GPU. HPEC 2019: 1-7
[c124]
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Zhuohui Duan, Haikun Liu, Xiaofei Liao, Hai Jin, Wenbin Jiang, Yu Zhang:
HiNUMA: NUMA-Aware Data Placement and Migration in Hybrid Memory Systems. ICCD 2019: 367-375
[c123]
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Cheng Liu, Xinyu Chen, Bingsheng He, Xiaofei Liao, Ying Wang, Lei Zhang:
OBFS: OpenCL Based BFS Optimizations on Software Programmable FPGAs. FPT 2019: 315-318
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Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen:
GraphM: an efficient storage system for high throughput of concurrent graph processing. SC 2019: 3:1-3:14
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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
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Xipeng Shen, Róbert Lovas, Xiaofei Liao:
Editorial for the Special Issue on In-Memory Computing. J. Parallel Distributed Comput. 120: 322 (2018)
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Wei Zhang, Xiaofei Liao, Peng Li, Hai Jin, Li Lin, Bing Bing Zhou:
Fine-Grained Scheduling in Cloud Gaming on Heterogeneous CPU-GPU Clusters. IEEE Netw. 32(1): 172-178 (2018)
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Xiaofei Liao, Song Guo, Deze Zeng, Kun Wang:
Guest editorial: Special issue on big data networking. Peer-to-Peer Netw. Appl. 11(5): 989-991 (2018)
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Qiongjie Yao, Xiaofei Liao, Hai Jin:
Training deep neural network on multiple GPUs with a model averaging method. Peer-to-Peer Netw. Appl. 11(5): 1012-1021 (2018)
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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)
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Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Bing Bing Zhou:
FBSGraph: Accelerating Asynchronous Graph Processing via Forward and Backward Sweeping. IEEE Trans. Knowl. Data Eng. 30(5): 895-907 (2018)
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Yu Zhang, Xiaofei Liao, Xiang Shi, Hai Jin, Bingsheng He:
Efficient Disk-Based Directed Graph Processing: A Strongly Connected Component Approach. IEEE Trans. Parallel Distributed Syst. 29(4): 830-842 (2018)
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Xiaofei Liao, Minhao Lin, Long Zheng, Hai Jin,