 QPET: A Versatile and Portable Quantity-of-Interest-preservation
Framework for Error-Bounded Lossy CompressionProceedings of the VLDB Endowment (PVLDB), 2024 |
 Dynamic Quality Metric Oriented Error-bounded Lossy Compression for
Scientific DatasetsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022 |
 Black-Box Statistical Prediction of Lossy Compression Ratios for
Scientific DataThe international journal of high performance computing applications (IJHPCA), 2023 |
 FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing
Applications on GPUsIEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2023 |
 SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded
Lossy CompressorsIEEE Transactions on Big Data (TBD), 2021 |
