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2020 – today
- 2023
[j3]Xin Liang
, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data 9(2): 485-498 (2023)- 2022
- [c17]Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. IEEE Big Data 2022: 1556-1563 - 2021
- [j2]Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen:
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. 32(7): 1677-1689 (2021) - [c16]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 - [c15]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Resilient error-bounded lossy compressor for data transfer. SC 2021: 94 - [i5]Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. CoRR abs/2101.03201 (2021) - [i4]Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. CoRR abs/2103.00130 (2021) - [i3]Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR abs/2111.02925 (2021) - 2020
- [b1]Sihuan Li:
Designing Efficient and Resilient Lossy Compressors for Large-Scale Scientific Computing. University of California, Riverside, USA, 2020 - [c14]Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. IEEE BigData 2020: 2716-2724 - [c13]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. CLUSTER 2020: 326-336 - [c12]Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. HPDC 2020: 89-100 - [i2]Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen:
Algorithm-Based Fault Tolerance for Convolutional Neural Networks. CoRR abs/2003.12203 (2020) - [i1]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SDC Resilient Error-bounded Lossy Compressor. CoRR abs/2010.03144 (2020)
2010 – 2019
- 2019
- [j1]Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong:
Use cases of lossy compression for floating-point data in scientific data sets. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [c11]Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello:
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER 2019: 1-11 - [c10]Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen:
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. ICS 2019: 106-116 - [c9]Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello:
Significantly improving lossy compression quality based on an optimized hybrid prediction model. SC 2019: 33:1-33:26 - [c8]Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen:
FT-iSort: efficient fault tolerance for introsort. SC 2019: 71:1-71:17 - 2018
- [c7]Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. IEEE BigData 2018: 428-437 - [c6]Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello:
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData 2018: 438-447 - [c5]Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, Rajiv Gupta:
COMPI: Concolic Testing for MPI Applications. IPDPS 2018: 865-874 - [c4]Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen:
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. SC 2018: 68:1-68:12 - 2017
- [c3]Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen:
Correcting soft errors online in fast fourier transform. SC 2017: 30 - 2016
- [c2]Jieyang Chen, Sihuan Li, Zizhong Chen:
GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs. NAS 2016: 1-2 - [c1]Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen:
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. SC 2016: 667-677
Coauthor Index
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