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Jinyang Liu
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Publications
- 2024
- [c44]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456 - 2023
- [c42]Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. IEEE Big Data 2023: 229-236 - [c41]Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello:
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. IEEE Big Data 2023: 4233-4239 - [c40]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49 - [c37]Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello:
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors. HiPC 2023: 117-126 - [c36]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC 2023: 132-142 - [c32]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. ICS 2023: 1-13 - [i28]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR abs/2304.03890 (2023) - [i22]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR abs/2308.05199 (2023) - [i18]Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. CoRR abs/2309.04037 (2023) - [i15]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR abs/2310.14133 (2023) - [i14]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello:
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. CoRR abs/2311.12133 (2023) - [i13]Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2312.05492 (2023) - 2022
- [c23]Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. SC 2022: 62:1-62:15 - 2021
- [c21]Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello:
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. IEEE BigData 2021: 2986-2991 - [c19]Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello:
Exploring Autoencoder-based Error-bounded Compression for Scientific Data. CLUSTER 2021: 294-306 - [i9]Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello:
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data. CoRR abs/2105.11730 (2021)
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