16 citations · 26 across the 10 of their papers we have counts for
4 papers · 1 filter
TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields
Nathaniel Gorski, Xin Liang, Hanqi Guo +1
In this paper, we present a novel compression framework, TFZ, that preserves the topology of 2D symmetric and asymmetric second-order tensor fields defined on flat triangular meshe…
Preserving Discrete Morse-Smale Complexes in Error-Bounded Lossy Compression
Yuxiao Li, Mingze Xia, Xin Liang +2
Scientific applications are generating unprecedented volumes of data that overwhelm storage and transmission systems, posing significant challenges for the design of data managemen…
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error
Congrong Ren, Xin Liang, Hanqi Guo
We explore an error-bounded lossy compression approach for reducing scientific data associated with 2D/3D unstructured meshes. While existing lossy compressors offer a high compres…
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
Hanqi Guo, David Lenz, Jiayi Xu +7
We present the Feature Tracking Kit (FTK), a framework that simplifies, scales, and delivers various feature-tracking algorithms for scientific data. The key of FTK is our high-dim…