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  • Sheng Di, Franck Cappello, "Fast Error-bounded Lossy HPC Data Compression with SZ," to appear in International Parallel and Distributed Processing Symposium (IEEE/ACM IPDPS 2016), 2016. [download]

  • Dingwen Tao, Sheng Di, Franck Cappello, "A Novel Algorithm for Significantly Improving Lossy Compression of Scientific Data Sets, " to appear in International Parallel and Distributed Processing Symposium (IEEE/ACM IPDPS 2017), Orlando, Florida, 2017. [download]

  • Dingwen Tao, Sheng  Sheng Di, Zizhong Chen, and Franck Capello, "Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets ", Proceedings of the 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD1) in Conjunction with ISCwith ISC'17, Frankfurt, Germany, June 22, 2017.

  • Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, et al., "Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales", in 23rd International European Conference on Parallel and Distributed Computing (Euro-Par 2017), 2017. pp. 3-19.

  • Sheng Di, Franck Cappello, "Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data," in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2017.

  • Ali Murat Gok, Dingwen Tao, Sheng  Sheng Di, Vladimir Mironov, Yuri Alexeev, Franck Cappello, "PaSTRI: A Novel Data Compression Algorithm for Two-Electron Integrals in Quantum Chemistry", in IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (SC2017). [poster]

  • Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello, "In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations", Proceedings of the 2017 IEEE International Conference on Big Data (BigData2017), Boston, MA, USA, December 11 - 14, 2017. [short paper]

  • Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, and Franck Cappello, "Z-checker: A Framework for Assessing Lossy Compression of Scientific Data", in The International Journal of High Performance Computing Applications (IJHPCA), 2017. [download]

  • Sheng Di, Dingwen Tao, Xin Liang, and Franck Cappello, "Efficient Lossy Compression for Scientific Data based on Pointwise Relative Error Bound", in IEEE in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2018.
  • Dingwen Tao, Sheng  Sheng Di, Xin Liang, Zizhong Chen and Franck Cappello, "Optimization of Fault Tolerance for Iterative Methods with Lossy Checkpointing", in 27th ACM Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC2018), 2018.

  • Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, V. Mironov, Franck Cappello, "PaSTRI: Error-bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry", in IEEE CLUSTER 2018, 2018. [best paper award award (in the application, algorithms and libraries track)]

  • Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, and Franck Cappello, "Efficient Transformation Scheme for Lossy Data Compression with Point-wise Relative Error Bound", in IEEE CLUSTER 2018. [best paper award (in the Data, Storage, and Visualization track)]

  • Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, and F. Cappello, "Fixed-PSNR Lossy Compression for Scientific Data", in IEEE CLUSTER 2018. (short paper)

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