Zhenbo Qiao

Zhenbo Qiao

PhD in Computer Engineering

Publications

  1. Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott klasky, and Jieyang Chen., “Taming I/O variation on QoS-less HPC storage: what can applications do?,” International Conference for High Performance Computing, Networking, Storage and Analysis (SC’20), pp. 1-13, IEEE, 2020.

  2. Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, and Zhenlu Qin., “Identifying Latent Reduced Models to Precondition Lossy Compression,” International Parallel and Distributed Processing Symposium (IPDPS), pp. 293-302, IEEE, 2019.

  3. Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, and Jinzhen Wang., “SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data,” Transactions on Multi-Scale Computing Systems, Vol. 4, 4, pp. 900-913, IEEE, 2018.

  4. Luo Huizhang, Qing Liu, Zhenbo Qiao, Jinzhen Wang, Mengxiao Wang, and Hong Jiang., “DuoModel: Leveraging Reduced Model for Data Reduction and Re- Computation on HPC Storage,” Letters of the Computer Society, Vol. 1, 1, pp. 5-8, IEEE, 2018.

  5. Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Mathew Wolf, Tong Liu and Zhenbo Qiao., “Understanding and modeling lossy compression schemes on HPC scientific data,” International Parallel and Distributed Processing Symposium (IPDPS), pp. 348-357, IEEE, 2018.

  6. Zhenbo Qiao, Huizhang Luo and Qing Liu., ”Canopus+: Intent-driven Data Refactoring for Extreme-Scale Data Analytics.” International Conference on Networking, Sensing and Control (ICNSC), IEEE, 2018.