2 papers
cs.DC2026
Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order
Alex Fallin, Nathaniel Gorski, Tripti Agarwal +3
Many scientific codes and instruments generate large amounts of floating-point data at high rates that must be compressed before they can be stored. Typically, only lossy compressi…
cs.DC2024
Lessons Learned on the Path to Guaranteeing the Error Bound in Lossy Quantizers
Alex Fallin, Martin Burtscher
Rapidly increasing data sizes in scientific computing are the driving force behind the need for lossy compression. The main drawback of lossy data compression is the introduction o…