FeatureZ : A General Framework for Feature-Preserving Compression via Pointwise Bounds and Star Classification
Nathaniel Gorski, Xin Liang, Han-Qi Guo et al.
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Preprint
Aug 2026
FaCTz: Fast Critical-Point and Topology-Aware GPU Compression for Scientific Vector Fields
Error-bounded lossy compression is essential for storing and transferring the vector-field data produced by large-scale scientific simulations. Although it enforces a user-specified error bound to limit numerical distortion, it does not preserve the field's topology: small admissible perturbations can create or elimina...
Mingze Xia, Yu-Xiao Li, Sheng Di et al.
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