| Article | |
| Title | Integration of RNTuple in ATLAS Athena |
| Author(s) | de Geus, Florine (CERN) ; López-Gómez, Javier (CERN) ; Blomer, Jakob (CERN) ; Nowak, Marcin (Brookhaven) ; van Gemmeren, Peter (Argonne) |
| Publication | 2024 |
| Number of pages | 8 |
| In: | EPJ Web Conf. 295 (2024) 06013 |
| In: | 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06013 |
| DOI | 10.1051/epjconf/202429506013 |
| Subject category | Computing and Computers |
| Accelerator/Facility, Experiment | CERN LHC ; ATLAS |
| Abstract | After using ROOT’s TTree I/O subsystem for over two decades and storing more than an exabyte of compressed High Energy Physics (HEP) data, advances in technology have motivated a complete redesign, RNTuple, which breaks backward-compatibility to take better advantage of these storage options. The RNTuple I/O subsystem has been designed to address performance bottlenecks and other shortcomings of TTree. Specifically, RNTuple comes with an updated, more compact binary data format that can be stored both in ROOT files and natively in object stores. It is designed for modern storage hardware (e.g. high-throughput low-latency NVMe SSDs), and provides robust and easy to use interfaces. The binary format of RNTuple is scheduled to become production grade in 2024, and recently has become mature enough to start exploring the integration into software used by HEP experiments. In this contribution, we discuss the developments to support the features as required by the ATLAS analysis Event Data Model (EDM) in RNTuple, which will enable its integration into the Athena software framework. With these developments in place, we evaluate the performance of the current most recent versions of RNTuple-based ATLAS data sets and compare this to that of TTree. |
| Copyright/License | publication: © 2024 The authors (License: CC-BY-4.0) |
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Zapis kreiran 2024-12-11, zadnja izmjena 2024-12-11