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ISAVS: interactive scalable analysis and visualization system.

, , , , , , , and . SIGGRAPH Asia Symposium on Visualization, page 18:1-18:8. ACM, (2017)

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In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees., , , , , , and . SC, page 1020-1031. IEEE Computer Society, (2014)Efficient I/O and Storage of Adaptive-Resolution Data., , , , , , , , and . SC, page 413-423. IEEE Computer Society, (2014)The Helmholtz-Hodge Decomposition - A Survey., , , and . IEEE Trans. Vis. Comput. Graph., 19 (8): 1386-1404 (2013)Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies., , , and . CoRR, (2019)ND2AV: N-dimensional data analysis and visualization analysis for the National Ignition Campaign., , , , , , and . Comput. Vis. Sci., 17 (1): 1-18 (2015)A Practical Approach to Two-Dimensional Scalar Topology., and . Topology-based Methods in Visualization, Springer, (2007)Portable and Composable Flow Graphs for In Situ Analytics., , , and . LDAV, page 63-72. IEEE, (2021)Analysis of large-scale scalar data using hixels., , , , , , and . LDAV, page 23-30. IEEE Computer Society, (2011)Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates., , , , , and . Healthcare AI and COVID-19 Workshop, volume 184 of Proceedings of Machine Learning Research, page 54-62. PMLR, (2022)Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network., , , , , , , , , and 13 other author(s). HPDC, page 316-319. ACM, (2010)