activity
20202026
most citedcuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

98 citations · 108 across the 19 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.LG2025

DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction

Khondoker Mirazul Mumenin, Robert Underwood, Dong Dai +4

Error-bounded lossy compression techniques have become vital for scientific data management and analytics, given the ever-increasing volume of data generated by modern scientific s…

astro-ph.IM2025★ 1 cited

Lossy Compression of Scientific Data: Applications Constrains and Requirements

Franck Cappello, Allison Baker, Ebru Bozda +22

Increasing data volumes from scientific simulations and instruments (supercomputers, accelerators, telescopes) often exceed network, storage, and analysis capabilities. The scienti…