| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01060 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202533701060 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701060
Impact of RNTuple on Storage Resources for ATLAS Production
1 University of Washington, Seattle, US
2 Argonne National Laboratory, Chicago, US
3 Brookhaven National Laboratory, New York, US
* e-mail: tovsiank@uw.edu
Published online: 7 October 2025
Over the past years, the ROOT team has been developing a new I/O format called RNTuple to store data from experiments at CERN’s Large Hadron Collider. RNTuple is designed to improve ROOT’s existing TTree I/O subsystem by improving I/O speed and introducing a more efficient binary data format. It can be stored in both ROOT files and object stores, and it is optimized for modern storage hardware like NVMe SSDs. The ATLAS experiment plans to use RNTuple as its primary storage container in the upcoming High Luminosity-LHC (HL-LHC) data taking. There has been significant progress in integrating RNTuple into the ATLAS event processing framework, and now all production ATLAS data output formats support it. Performance studies with open-source data have shown substantial improvements in space resource usage. The reported study examines the I/O throughput and disk-space savings achieved with RNTuple for various ATLAS data output formats. These measurements will have an important impact on the computing resource needs of the ATLAS experiment for HL-LHC operation.
© The Authors, published by EDP Sciences, 2025
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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