Jing Wang

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@inproceedings{vldb-mei,
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@inproceedings{cocg-wang,
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@inproceedings{ccgrid,
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@inproceedings{ccgrid-liu,
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@inproceedings{wang2022excavating,
  title={Excavating the potential of graph workload on rdma-based far memory architecture},
  author={Wang, Jing and Li, Chao and Wang, Taolei and Zhang, Lu and Wang, Pengyu and Mei, Junyi and Guo, Minyi},
  booktitle={2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
  pages={1029--1039},
  year={2022},
  organization={IEEE},
  url={https://ieeexplore.ieee.org/document/9820708/}
}
     

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@inproceedings{hyfarm,
  author={Wang, Jing and Li, Chao and Mei, Junyi and He, Hao and Wang, Taolei and Wang,  Pengyu and Zhang, Lu and Guo, Minyi and Wu, Hanqing and Chen, Dongbai and Liu, Xiangwen},
  year={2022},
  booktitle={IEEE International Conference on Computer Design (ICCD)},
  title={HyFarM: Task Orchestration on Hybrid Far Memory for High
  Performance Per Bit},
  address={Kuala Lumpur, Malaysia},
  pages={33-41},
  url={https://ieeexplore.ieee.org/document/9978358}
}
       

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@inproceedings{wang2021skywalker,
  title={Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs},
  author={Wang, Pengyu and Li, Chao and Wang, Jing and Wang, Taolei and Zhang, Lu and Leng, Jingwen and Chen, Quan and Guo, Minyi},
  booktitle={2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT)},
  pages={304--317},
  year={2021},
  organization={IEEE},
  url={https://ieeexplore.ieee.org/document/9563020}
}
       

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@inproceedings{shao2022oversubscribing,
  title={Oversubscribing GPU Unified Virtual Memory: Implications and Suggestions},
  author={Shao, Chuanming and Guo, Jinyang and Wang, Pengyu and Wang, Jing and Li, Chao and Guo, Minyi},
  booktitle={Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (ICPE)},
  pages={67--75},
  year={2022},
  url={https://dl.acm.org/doi/10.1145/3489525.3511691}
}
         

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@article{wang2022jpdc,
  title={Fargraph+: Excavating the Parallelism of Graph Computing Workload on RDMA-based Far Memory System},
  author={Wang, Jing and Li, Chao and Wang, Taolei and Zhang, Lu and Wang, Pengyu and Mei, Junyi and Guo, Minyi},
  journal={Journal of Parallel and Distributed Computing (JPDC, \textbf{CCF B})},
  url={https://doi.org/10.1016/j.jpdc.2023.02.015},
  pages={144-159},
  year={2023},
  publisher={Elsevier},
}
       

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@article{wang2021grus,
  title={Grus: Toward unified-memory-efficient high-performance graph processing on gpu},
  author={Wang, Pengyu and Wang, Jing and Li, Chao and Wang, Jianzong and Zhu, Haojin and Guo, Minyi},
  journal={ACM Transactions on Architecture and Code Optimization (TACO, \textbf{CCF A})},
  volume={18},
  number={2},
  pages={1--25},
  year={2021},
  publisher={ACM New York, NY, USA},
  url={https://dl.acm.org/doi/10.1145/3444844}
}
         

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@article{graphsurvey,
  title={Memory system optimization for graph processing: a survey},
  author={Wang, Jing and Zhang, Lu and Wang, Pengyu and Xu, Xiaodong and Li, Chao and Zhu, Haojin and Qian, Xuehai and Guo, Minyi},
  journal={Science China Information Science (SCIS)},
  year={2019},
  publisher={(originally in Chinese)},
  url={https://www.sciengine.com/SSI/doi/10.1360/N112018-00281}
}
       

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@article{zhang2021tapping,
  title={Tapping into nfv environment for opportunistic serverless edge function deployment},
  author={Zhang, Lu and Feng, Weiqi and Li, Chao and Hou, Xiaofeng and Wang, Pengyu and Wang, Jing and Guo, Minyi},
  journal={IEEE Transactions on Computers (TC)},
  year={2021},
  publisher={IEEE},
  url={https://ieeexplore.ieee.org/document/9638338}
}
         

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@article{fpgasurvey,
  title={Programming and Developing Environment for FPGA Graph Processing: Survey and Exploration},
  author={Guo, Jinyang and Shao, Chuanming and Wang, Jing and Li, Chao and Zhu, Haojin  and Guo, Minyi},
  journal={Journal of Computer Research and Development (JCRD)},
  year={2019},
  publisher={(originally in Chinese)},
  url={https://crad.ict.ac.cn/CN/10.7544/issn1000-1239.2020.20200106}
}
           

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@article{10.1145/3524124,
  author = {Hung, Jos\'{e} Romero and Li, Chao and Wang, Taolei and Guo, Jinyang and Wang, Pengyu and Shao, Chuanming and Wang, Jing and Shi, Guoyong and Liu, Xiangwen and Wu, Hanqing},
  title = {DRAGON: Dynamic Recurrent Accelerator for Graph Online Convolution},
  year = {2022},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  issn = {1084-4309},
  url ={https://doi.org/10.1145/3524124},
  journal = {ACM Trans. Des. Autom. Electronic System (TODAES, \textbf{CCF B})},
}
             

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@article{romero2021ace,
  title={ACE-GCN: A Fast data-driven FPGA accelerator for GCN embedding},
  author={Romero Hung, Jos{\'e} and Li, Chao and Wang, Pengyu and Shao, Chuanming and Guo, Jinyang and Wang, Jing and Shi, Guoyong},
  journal={ACM Transactions on Reconfigurable Technology and Systems (TRETS)},
  volume={14},
  number={4},
  pages={1--23},
  year={2021},
  publisher={ACM New York, NY}
}
               

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@INCOLLECTION{wangfargraph,
  author = {Hu, Yongmin and Wang, Jing and Zhao, Cheng and Liu, Yibo and  Chen, Cheng and Cong, Xiaoliang and Li, Chao},
  title = {ParLeiden: Boosting Parallelism of Distributed Leiden Algorithm on Large-scale Graphs},
  booktitle = {International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)},
  publisher = {Research Poster},
  year = {2023},
}
       

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@INCOLLECTION{wangfargraph,
  author = {Wang, Jing and Li, Chao and Wang, Taolei and Zhang, Lu and Wang, Pengyu and Mei, Junyi and Guo, Minyi},
  title = {Fargraph: Optimizing Graph Workload on RDMA-based Far Memory Architecture},
  booktitle = {International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)},
  publisher = {Research Poster},
  year = {2021},
}
       

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@INCOLLECTION{cowalker,
  author = {Xu, Cheng and Li, Chao and Wang, Pengyu and Hou, Xiaofeng and Wang, Jing and Sun, Shixuan and Guo, Minyi and Chen, Dongbai and  Liu, Xiangwen},
  title = {CoWalker: High-Throughput GPU Random Walk with Fine-tuned Concurrent Query Processing},
  booktitle = {International Conference for Principles and Practice of Parallel Programming (PPoPP)},
  publisher = {Research Poster},
  year = {2023},
}

         

program and Presentation and content

           
@INCOLLECTION{benchcouncil,
  author = {Deng, Weixin and Wang, Pengyu and Wang, Jing and Li, Chao},
  title = {Exploiting parallelism, sparsity and locality to
  accelerate matrix factorization on x86 platforms},
  booktitle = {International Symposium on Benchmarking, Measuring and Optimizing (BenchCouncil)},
  publisher = {BenchCouncil},
  year = {2019}
}
       

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      @INCOLLECTION{fpgaprogramming,
        author = {Wang, Jing and Guo, Jinyang and Li, Chao},
        title = {On The Design of a Light-weight FPGA Programming Framework for Graph Applications},
        booktitle = {	arXiv:2202.12479 },
        publisher = {arXiv},
        year = {2022}
      }