Kai Zhao

According to our database, Kai Zhao authored at least 44 papers between 2018 and 2024.

Collaborative distances:

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

2024

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao

IEEE Trans. Parallel Distributed Syst., March, 2024

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.

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

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

2023

FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs.

Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, Zizhong Chen

IEEE Trans. Parallel Distributed Syst., December, 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

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello

CoRR, 2023

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello

CoRR, 2023

SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.

Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

CoRR, 2023

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters.

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

CoRR, 2023

C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives.

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

CoRR, 2023

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao

CoRR, 2023

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.

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

Proceedings of the International Conference for High Performance Computing, 2023

Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.

Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the 37th International Conference on Supercomputing, 2023

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets.

Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

An Efficient and Accurate Compression Ratio Estimation Model for SZx.

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2023

Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression.

Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.

Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Big Data, 2023

Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression.

Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.

Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello

IEEE Trans. Parallel Distributed Syst., 2022

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.

Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello

Proc. VLDB Endow., 2022

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets.

Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello

CoRR, 2022

Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the SC22: International Conference for High Performance Computing, 2022

MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics.

Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Ultrafast Error-bounded Lossy Compression for Scientific Datasets.

Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 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

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

CoRR, 2021

Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.

Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 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

FT-BLAS: a high performance BLAS implementation with online fault tolerance.

Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation.

Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, Franck Cappello

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.

Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.

Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Exploring Autoencoder-based Error-bounded Compression for Scientific Data.

Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Cluster 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

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

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.

Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

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

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