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Identifying Latent Reduced Models to Precondition Lossy Compression.

H. Luo, D. Huang, Q. Liu, Z. Qiao, H. Jiang, J. Bi, H. Yuan, M. Zhou, J. Wang, и Z. Qin. IPDPS, стр. 293-302. IEEE, (2019)

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Yongxiang Luo

Jia Luo

Xiaoguang Luo

Liangping Luo

Benjin Luo

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COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems.C. Sun, H. Luo, H. Jiang, J. Zhang, и K. Li. IEEE Trans. Parallel Distributed Syst., 34 (7): 2167-2179 (июля 2023)Total Variation Reduction for Lossless Compression of HPC Applications.J. Wang, Y. Li, Q. Liu, H. Luo, и K. Li. SoCC, стр. 129-134. IEEE, (2021)cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores.Z. Li, M. Duan, H. Luo, W. Yang, K. Li, и K. Li. CoRR, (2024)zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.H. Luo, J. Wang, Q. Liu, J. Chen, S. Klasky, и N. Podhorszki. IPDPS, стр. 402-411. IEEE, (2021)Identifying Latent Reduced Models to Precondition Lossy Compression.H. Luo, D. Huang, Q. Liu, Z. Qiao, H. Jiang, J. Bi, H. Yuan, M. Zhou, J. Wang, и Z. Qin. IPDPS, стр. 293-302. IEEE, (2019)SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.Z. Qiao, T. Lu, H. Luo, Q. Liu, S. Klasky, N. Podhorszki, и J. Wang. IEEE Trans. Multi Scale Comput. Syst., 4 (4): 900-913 (2018)A content-aware writing mechanism for reducing energy on non-volatile memory based embedded storage systems.J. Li, Q. Zhuge, D. Liu, H. Luo, и E. Sha. Des. Autom. Embed. Syst., 17 (3-4): 711-737 (2013)A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data.H. Luo, J. Wang, Z. Qin, D. Huang, Q. Liu, M. Zhou, и H. Jiang. IEEE Trans. Big Data, 9 (3): 949-963 (июня 2023)ZFP-X: Efficient Embedded Coding for Accelerating Lossy Floating Point Compression.B. Lu, Y. Li, J. Wang, H. Luo, и K. Li. IPDPS, стр. 1041-1050. IEEE, (2023)zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.H. Luo, J. Wang, Q. Liu, J. Chen, S. Klasky, и N. Podhorszki. IEEE Trans. Parallel Distributed Syst., 33 (12): 3702-3717 (2022)

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