Sep 19 – 22, 2022
Paul Scherer Institute, Villigen, Switzerland
Europe/Zurich timezone

Lossless data compression: an overview

Sep 20, 2022, 4:20 PM
WHGA/Auditorium and online (Paul Scherer Institute, Villigen, Switzerland)

WHGA/Auditorium and online

Paul Scherer Institute, Villigen, Switzerland

Paul Scherrer Institute Forschungsstrasse 111 CH-5232-Villigen-PSI
Oral NOBUGS 2022


Gamil CASSAM-CHENAI (Synchrotron SOLEIL)


Large research infrastructures, such as synchrotron facilities, generate large amounts of data (up to a few tens of terabytes) every day. This data is very valuable, as it is the result of elaborate scientific experiments, which are likely to be performed only once.

Storing this data efficiently in addition to previously accumulated data, being able to transfer it quickly, and accessing it efficiently for visualization and scientific analysis is both a necessity and a challenge that digital data compression can address.

In this review of lossless data compression, I will present the metrics to use when considering compression from a temporal perspective, some strategies for improving compression and a few tools for evaluating compression algorithms with an example based on tomography data obtained at Soleil.

Email address of presenting author

Primary author

Gamil CASSAM-CHENAI (Synchrotron SOLEIL)

Presentation materials