Cite Our Works

Our published papers cover the essential design and implementation.

• PACT '20: cuSZ, via local copy, via ACM, via arXiv
  • framework: (fine-grained) N-D prediction-based error-controling "construction" + (coarse-grained) lossless encoding
• CLUSTER '21: cuSZ+, via local, via IEEEXplore
  • optimization in throughput, featuring fine-grained N-D "reconstruction"
  • optimization in compression ratio, when data is deemed as "smooth"

Kindly note: If you mention cuSZ in your paper, please cite using these BibTeX entries.

PACT '20, cuSZ

@inproceedings{cusz2020,
      title = {cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data},
     author = {Tian, Jiannan and Di, Sheng and Zhao, Kai and Rivera, Cody and Fulp, Megan Hickman and Underwood, Robert and Jin, Sian and Liang, Xin and Calhoun, Jon and Tao, Dingwen and Cappello, Franck},
       year = {2020},
       isbn = {9781450380751},
  publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
        url = {https://doi.org/10.1145/3410463.3414624},
        doi = {10.1145/3410463.3414624},
  booktitle = {Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques},
      pages = {3–15},
   numpages = {13},
   keywords = {cuda, gpu, scientific data, lossy compression, performance},
   location = {Virtual Event, GA, USA},
     series = {PACT '20}
}

CLUSTER '21, cuSZ+

@INPROCEEDINGS {cuszplus2021,
      title = {Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs},
     author = {Tian, Jiannan and Di, Sheng and Yu, Xiaodong and Rivera, Cody and Zhao, Kai and Jin, Sian and Feng, Yunhe and Liang, Xin and Tao, Dingwen and Cappello, Franck},
       year = {2021},
      month = {September},
  publisher = {IEEE Computer Society},
    address = {Los Alamitos, CA, USA},
        url = {https://doi.ieeecomputersociety.org/10.1109/Cluster48925.2021.00047},
        doi = {10.1109/Cluster48925.2021.00047},
  booktitle = {2021 IEEE International Conference on Cluster Computing (CLUSTER)},
      pages = {283-293},
   keywords = {conferences;graphics processing units;computer architecture;cluster computing;reconstruction algorithms;throughput;encoding}
}