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Zhenlu Qin

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2020 – today

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2024
[c3]
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  dblp key:
  - conf/eScience/QinGLWZ24
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Zhenlu Qin, Jessie Gu, Maggie Liu, Jinzhen Wang, Hongjian Zhu:
A Generic Performance Metric for Scientific Data Compression. e-Science 2024: 1-3
2023
[j2]
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Huizhang Luo, Junqi Wang, Zhenlu Qin, Dan Huang, Qing Liu, Mengchu Zhou, Hong Jiang:
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data. IEEE Trans. Big Data 9(3): 949-963 (2023)
2022
[j1]
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Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky:
Identifying challenges and opportunities of in-memory computing on large HPC systems. J. Parallel Distributed Comput. 164: 106-122 (2022)
2020
[c2]
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  - conf/icdcs/HuangQLPK20
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Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky:
A Comprehensive Study of In-Memory Computing on Large HPC Systems. ICDCS 2020: 987-997

2010 – 2019

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2019
[c1]
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Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, Zhenlu Qin:
Identifying Latent Reduced Models to Precondition Lossy Compression. IPDPS 2019: 293-302

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