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Amy Byrnes

alumni

Amy Byrnes

University of Illinois Chicago

Project

Intelligent Lossy Compression for ATLAS Data

The LHC experiments have produced hundreds of petabytes of data. With the HL-LHC on the horizon, the rate at which this data is produced will soon increase. Disk space is, as ever, at a premium.
Compression of LHC data products has so far been accomplished through a combination of lossless algorithms and simple lossy techniques, such as bit truncation. These techniques have provided significant reductions in data volume. However, there are more sophisticated lossy compression techniques which are currently unused and untested on LHC data. The aim of this project is to determine the effectiveness of these “smart” lossy compression algorithms at reducing the volume of data produced by the ATLAS experiment.

Publications

  1. Evaluating Error-Bounded Lossy Compression on HEP Data with LossBench

    Amy Byrnes, Alaettin Serhan Mete, Jahred Adelman, Peter van Gemmeren, Michael E. Papka

    conference talkConference on Computing in High Energy and Nuclear Physics (CHEP), Bangkok · 2026

  2. Navigating Trade-Offs in Compression: Evaluating SZ3 for High Energy Physics Data

    Amy Byrnes, Serhan Mete, Jahred Adelman, Peter van Gemmeren, Michael E. Papka

    poster12th Greater Chicago Area Systems Research Workshop (GCASR) · 2025