| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01034 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701034 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701034
Direct I/O for RNTuple Columnar Data
1 CERN, Geneva, Switzerland
2 Goethe University Frankfurt, Institute of Computer Science, Frankfurt, Germany
3 Fermi National Accelerator Laboratory, Batavia, IL, USA
* e-mail: jonas.hahnfeld@cern.ch
Published online: 7 October 2025
RNTuple is the new columnar data format designed as the successor to ROOT’s TTree format. It allows to make use of modern hardware capabilities and is expected to be used in production by the LHC experiments during the HL-LHC. In this paper, we discuss the usage of Direct I/O to fully exploit modern SSDs, especially in the context of the recent addition of parallel RNTuple writing. We describe the alignment requirements imposed by Direct I/O and approaches to meet them for columnar data formats. Finally, we discuss performance results for both writing and reading, in synthetic benchmarks as well as real-world applications.
© The Authors, published by EDP Sciences, 2025
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