CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation

J Liu, J Tian, S Wu, S Di, B Zhang… - … Conference for High …, 2024 - ieeexplore.ieee.org
Error-bounded lossy compression is a critical technique for significantly reducing scientific
data volumes. Compared to CPU-based compressors, GPU-based compressors exhibit …

A high-quality workflow for multi-resolution scientific data reduction and visualization

D Wang, P Grosset, J Pulido… - … Conference for High …, 2024 - ieeexplore.ieee.org
Multi-resolution methods such as Adaptive Mesh Refinement (AMR) can enhance storage
efficiency for HPC applications generating vast volumes of data. However, their applicability …

[PDF][PDF] LUNDIsim: model meshes for flow simulation and compression benchmarks

L Duval, F Payan, C Preux, L Bouard - PREPRINT, 2025 - laurent-duval.eu
The volume of scientific data produced for and by numerical simulation workflows,
particularly in geoscience, is increasing at an incredible rate. Among remedies, lossless and …

Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience

Q Zheng, B Atkinson, D Wang, J Lee… - SC24-W: Workshops …, 2024 - ieeexplore.ieee.org
Traditional scientific visualization pipelines transfer entire data arrays from storage to client
nodes for processing into displayable graphics objects. However, this full data transfer is …