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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)CBGIR: content-based geographic image retrieval., , , , и . GIS, стр. 526-527. ACM, (2010)TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations., , , , , , , и . IEEE Trans. Parallel Distributed Syst., 35 (3): 421-438 (марта 2024)TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations., , , , , , , и . CoRR, (2023)Modeling the Lyman-$\alpha$ forest with Eulerian and SPH hydrodynamical methods, , , , , , , , и . (2022)cite arxiv:2207.05023Comment: submitted to MNRAS.Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework., , , , , и . SC Workshops, стр. 263-271. ACM, (2023)Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition., , , , и . EuroVis (Short Papers), стр. 55-59. Eurographics Association, (2021)Personalized In Situ Steering for Analysis and Visualization., , и . ISAV@SC, стр. 1-6. ACM, (2020)Foresight: analysis that matters for data reduction., , , , , , , , , и . SC, стр. 83. IEEE/ACM, (2020)In situ data-driven adaptive sampling for large-scale simulation data summarization., , , и . ISAV@SC, стр. 13-18. ACM, (2018)