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Dingwen Tao
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Publications
- 2024
- [j14]Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. IEEE Trans. Parallel Distributed Syst. 35(3): 421-438 (2024) - [c66]Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello:
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. EuroSys 2024: 981-998 - 2023
- [j12]Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia:
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(3): 923-937 (2023) - [c59]Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC 2023: 44:1-44:15 - [i48]Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. CoRR abs/2301.01901 (2023) - [i43]Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. CoRR abs/2307.09609 (2023) - 2022
- [j8]Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Trans. Parallel Distributed Syst. 33(10): 4440-4457 (2022) - [c52]Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao:
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. HPDC 2022: 135-147 - [c50]Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. ICDE 2022: 2494-2507 - [c48]Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao:
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. ICS 2022: 12:1-12:13 - [c45]Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello:
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. SC 2022: 61:1-61:15 - [i33]Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao:
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. CoRR abs/2204.00711 (2022) - [i31]Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello:
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. CoRR abs/2206.14761 (2022) - [i29]Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao:
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. CoRR abs/2211.00224 (2022) - 2021
- [j6]Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao:
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Proc. VLDB Endow. 15(4): 886-899 (2021) - [c43]Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CLUSTER 2021: 283-293 - [c42]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 - [c40]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CLUSTER 2021: 409-420 - [c39]Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. HiPC 2021: 394-399 - [c38]Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. HPDC 2021: 45-56 - [c37]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS 2021: 266-278 - [c34]Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
A novel memory-efficient deep learning training framework via error-bounded lossy compression. PPoPP 2021: 485-487 - [c33]Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. DRBSD@SC 2021: 40-46 - [i26]Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. CoRR abs/2104.00178 (2021) - [i25]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) - [i24]Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello:
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2105.12912 (2021) - [i23]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CoRR abs/2105.12929 (2021) - [i22]Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao:
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. CoRR abs/2106.13306 (2021) - [i20]Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. CoRR abs/2111.09562 (2021) - [i19]Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. CoRR abs/2111.09815 (2021) - 2020
- [c32]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT 2020: 3-15 - [c27]Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, Zheng Zhang:
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity. ICPP 2020: 40:1-40:12 - [c26]Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. IPDPS 2020: 105-115 - [c25]Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello:
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. PPoPP 2020: 74-88 - [i16]Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens:
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. CoRR abs/2004.00224 (2020) - [i15]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR abs/2007.09625 (2020) - [i10]Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression. CoRR abs/2011.09017 (2020) - [i9]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. CoRR abs/2011.10170 (2020) - 2019
- [c20]Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello:
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. HPDC 2019: 159-170 - [i8]Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello:
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. CoRR abs/1901.09124 (2019)
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