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

, , , , , , , and . Proc. VLDB Endow., 16 (4): 697-710 (2022)

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Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling., , , , , and . CoRR, (2021)Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs., , , , , and . IPDPS, page 717-727. IEEE, (2022)H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture., , , , , , and . FPL, page 200-208. IEEE, (2022)DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression., , , , , and . HPDC, page 159-170. ACM, (2019)AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications., , , , , , , , , and 4 other author(s). SC, page 44:1-44:15. ACM, (2023)cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data., , , , , , , , , and 1 other author(s). PACT, page 3-15. ACM, (2020)Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations., , , , , , and . CoRR, (2022)SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets., , , , , , and . CoRR, (2022)Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data., , , , , , , and . Proc. VLDB Endow., 16 (4): 697-710 (2022)CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression., , , , , and . ICS, page 12:1-12:13. ACM, (2022)