Data compression plays a key role in reducing storage and I/O costs. Traditional lossy
methods primarily target data on rectilinear grids and cannot leverage the spatial coherence …

This paper presents error-bounded lossy compression tailored for particle datasets from
diverse scientific applications in cosmology, fluid dynamics, and fusion energy sciences. As …

We present a general framework for compressing unstructured scientific data with known
local connectivity. A common application is simulation data defined on arbitrary finite …