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CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression., , , , , и . ICS, стр. 12:1-12:13. ACM, (2022)Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data., , , , , , , и . Proc. VLDB Endow., 16 (4): 697-710 (2022)Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs., , , , , , , , , и . CLUSTER, стр. 283-293. IEEE, (2021)waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data., , , , , , , и . PPoPP, стр. 74-88. ACM, (2020)H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture., , , , , , и . FPL, стр. 200-208. IEEE, (2022)Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs., , , , , и . IPDPS, стр. 717-727. IEEE, (2022)DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression., , , , , и . HPDC, стр. 159-170. ACM, (2019)cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data., , , , , , , , , и 1 other автор(ы). PACT, стр. 3-15. ACM, (2020)AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications., , , , , , , , , и 4 other автор(ы). SC, стр. 44:1-44:15. ACM, (2023)Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing., , , , , , , , , и 10 other автор(ы). Future Gener. Comput. Syst., (2025)