Sihuan Li

According to our database, Sihuan Li authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.

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

IEEE Trans. Big Data, April, 2023

2022

Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models.

Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen

Proceedings of the IEEE International Conference on Big Data, 2022

2021

FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks.

Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen

IEEE Trans. Parallel Distributed Syst., 2021

Resilient error-bounded lossy compressor for data transfer.

Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the International Conference for High Performance Computing, 2021

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.

Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Designing Efficient and Resilient Lossy Compressors for Large-Scale Scientific Computing.

Sihuan Li

PhD thesis, 2020

SDC Resilient Error-bounded Lossy Compressor.

Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

CoRR, 2020

Algorithm-Based Fault Tolerance for Convolutional Neural Networks.

Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen

CoRR, 2020

Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.

Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.

Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2020

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors.

Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Use cases of lossy compression for floating-point data in scientific data sets.

Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong

Int. J. High Perform. Comput. Appl., 2019

Significantly improving lossy compression quality based on an optimized hybrid prediction model.

Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello

Proceedings of the International Conference for High Performance Computing, 2019

FT-iSort: efficient fault tolerance for introsort.

Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen

Proceedings of the International Conference for High Performance Computing, 2019

TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs.

Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen

Proceedings of the ACM International Conference on Supercomputing, 2019

Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.

Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs.

Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen

Proceedings of the International Conference for High Performance Computing, 2018

COMPI: Concolic Testing for MPI Applications.

Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, Rajiv Gupta

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.

Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data.

Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Correcting soft errors online in fast fourier transform.

Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen

Proceedings of the International Conference for High Performance Computing, 2017

2016

GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing.

Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen

Proceedings of the International Conference for High Performance Computing, 2016

GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs.

Jieyang Chen, Sihuan Li, Zizhong Chen

Proceedings of the IEEE International Conference on Networking, 2016