3 papers
cs.DC2025
IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications
Zhuoxun Yang, Sheng Di, Longtao Zhang +6
Compression is a crucial solution for data reduction in modern scientific applications due to the exponential growth of data from simulations, experiments, and observations. Compre…
cs.DC2024
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles
Longtao Zhang, Ruoyu Li, Congrong Ren +10
Many scientific applications opt for particles instead of meshes as their basic primitives to model complex systems composed of billions of discrete entities. Such applications spa…
cs.IT2024
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data
Congrong Ren, Sheng Di, Longtao Zhang +2
This paper presents error-bounded lossy compression tailored for particle datasets from diverse scientific applications in cosmology, fluid dynamics, and fusion energy sciences. As…