| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 02017 | |
| Number of page(s) | 7 | |
| Section | 2 - Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024502017 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024502017
ROOT I/O compression improvements for HEP analysis
1
University of Nebraska-Lincoln, 1400 R St, Lincoln, NE 68588, United States
2
Morgridge Institute for Research, 330 N Orchard St, Madison, WI 53715, United States
3
Fermilab, Kirk Road and Pine St, Batavia, IL 60510, United States
4
CERN, Meyrin 1211, Geneve, Switzerland
* e-mail: oksana.shadura@cern.ch
** e-mail: bbockelman@morgridge.com
*** e-mail: pcanal@fnal.gov
**** e-mail: dpiparo@cern.ch
† e-mail: zhan0915@huskers.unl.edu
Published online: 16 November 2020
We overview recent changes in the ROOT I/O system, enhancing it by improving its performance and interaction with other data analysis ecosystems. Both the newly introduced compression algorithms, the much faster bulk I/O data path, and a few additional techniques have the potential to significantly improve experiment’s software performance.
The need for efficient lossless data compression has grown significantly as the amount of HEP data collected, transmitted, and stored has dramatically increased over the last couple of years. While compression reduces storage space and, potentially, I/O bandwidth usage, it should not be applied blindly, because there are significant trade-offs between the increased CPU cost for reading and writing files and the reduces storage space.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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