Richen Liu

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When computing integral curves and integral surfaces for large-scale unsteady flow fields, a major bottleneck is the widening gap between data access demands and the available bandwidth (both I/O and in-memory). In this work, we explore a novel advection-based scheme to manage flow field data for both efficiency and scalability. The key is to first(More)
Most of the existing approaches to visualizing the vector field ensembles are achieved by visualizing the uncertainty of individual variables of different simulation runs, for example, geometry distance, statistics, variability etc. However, the comparison of the derived feature or user-defined feature (e.g. vortex) is also of vital significance since they(More)
The exploration of geological composition, e.g. underground flow path, is a significant step for oil and gas search. However, to extract the structural geological composition from the volume, neither the classic volume exploration methods, e.g. transfer function design, nor the traditional volume cut algorithms can be directly used due to its three natural(More)
We propose a longest common subsequence (LCSS)-based approach to compute the distance among vector field ensembles. By measuring how many common blocks the ensemble pathlines pass through, the LCSS distance defines the similarity among vector field ensembles by counting the number of shared domain data blocks. Compared with traditional methods (e.g.,(More)
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