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Demystifying graph processing frameworks and benchmarks

Science China Information Sciences volume 63, Article number: 229101 (2020) Cite this article

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References

  1. Gui C Y, Zheng L, He B, et al. A survey on graph processing accelerators: challenges and opportunities. J Comput Sci Technol, 2019, 34: 339–371

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61602377, 61834005), National Natural Science Foundation of USA (Grant Nos. 1745813, 1725743), and International Science and Technology Cooperation Program of Shaanxi (Grant No. 2018KW-006).

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Author notes

  1. Junyong DENG and Qinzhe WU have the same contribution to this work.

Authors and Affiliations

  1. School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Junyong Deng

  2. Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, 78712, USA

    Junyong Deng, Qinzhe Wu, Shuang Song, Joseph Dean & Lizy Kurian John

  3. School of Software Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Xiaoyan Wu

Authors
  1. Junyong Deng
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  2. Qinzhe Wu
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  3. Xiaoyan Wu
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  4. Shuang Song
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  5. Joseph Dean
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  6. Lizy Kurian John
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Corresponding author

Correspondence to Junyong Deng.

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Supporting information

Appendixes A-G. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Deng, J., Wu, Q., Wu, X. et al. Demystifying graph processing frameworks and benchmarks. Sci. China Inf. Sci. 63, 229101 (2020). https://doi.org/10.1007/s11432-019-2807-4

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  • DOI: https://doi.org/10.1007/s11432-019-2807-4