Kai Zhao
Orcid: 0000-0001-5328-3962Affiliations:
- Florida State University, FL, USA
- University of Alabama at Birmingham, AL, USA (former)
- University of California Riverside, CA, USA (former)
According to our database1,
Kai Zhao
authored at least 51 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Parallel Distributed Syst., March, 2024
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data, February, 2024
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
CoRR, 2024
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data.
CoRR, 2024
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the 38th ACM International Conference on Supercomputing, 2024
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
2023
IEEE Trans. Parallel Distributed Syst., December, 2023
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
IEEE Trans. Big Data, April, 2023
CoRR, 2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR, 2023
CoRR, 2023
CoRR, 2023
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
Proceedings of the International Conference for High Performance Computing, 2023
Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.
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.
Proceedings of the 37th International Conference on Supercomputing, 2023
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Proceedings of the IEEE International Conference on Cluster Computing, 2023
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst., 2022
Proc. VLDB Endow., 2022
CoRR, 2022
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
CoRR, 2021
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021
Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.
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.
Proceedings of the IEEE International Conference on Cluster Computing, 2020
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.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020
2019
Proceedings of the International Conference for High Performance Computing, 2019
Proceedings of the ACM International Conference on Supercomputing, 2019
2018
Proceedings of the International Conference for High Performance Computing, 2018