Speaker
Description
After using ROOT TTree for over two decades and storing more than an exabyte of compressed data, advances in technology have motivated a complete redesign, RNTuple, that breaks backward-compatibility to take better advantage of these storage options. The RNTuple I/O subsystem has been designed to address performance bottlenecks and shortcomings of ROOT's current state of the art TTree I/O subsystem. Specifically, it comes with an updated, more compact binary data format, that can be stored both in ROOT files and natively in object stores, on performance engineering for modern storage hardware (e.g. high-throughput low-latency NVMe SSDs), and robust and easy to use interfaces.
RNTuple is scheduled to become production grade in 2024; recently it became mature enough to start exploring the integration into experiments' software. In particular, in this contribution we analyze the challenges and discuss their solutions on the way to supporting the ATLAS Analysis Event Data Model (based on xAOD data format) in Athena, part of the software stack for the ATLAS experiment.
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