CERN Accelerating science

Article
Report number	arXiv:2312.08206
Title	Towards podio v1.0 - A first stable release of the EDM toolkit
Author(s)	Carceller, Juan Miguel (CERN) ; Gaede, Frank (DESY) ; Ganis, Gerardo (CERN) ; Hegner, Benedikt (CERN) ; Helsens, Clement (CERN ; KIT, Karlsruhe, IPE) ; Madlener, Thomas (DESY) ; Sailer, André (CERN) ; Stewart, Graeme A. (CERN) ; Volkl, Valentin (CERN)
Publication	2024
Imprint	2023-12-13
Number of pages	8
Note	Submitted to proceedings of CHEP 2023
In:	EPJ Web Conf. 295 (2024) 06018
In:	26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06018
DOI	10.1051/epjconf/202429506018
Subject category	hep-ex ; Particle Physics - Experiment
Abstract	A performant and easy-to-use event data model (EDM) is a key component of any HEP software stack. The podio EDM toolkit provides a user friendly way of generating such a performant implementation in C++ from a high level description in yaml format. Finalizing a few important developments, we are in the final stretches for release v1.0 of podio, a stable release with backward compatibility for datafiles written with podio from then on. We present an overview of the podio basics, and go into slighty more technical detail on the most important topics and developments. These include: schema evolution for generated EDMs, multithreading with podio generated EDMs, the implementation of them as well as the basics of I/O. Using EDM4hep, the common and shared EDM of the Key4hep project, we highlight a few of the smaller features in action as well as some lessons learned during the development of EDM4hep and podio. Finally, we show how podio has been integrated into the Gaudi based event processing framework that is used by Key4hep, before we conclude with a brief outlook on potential developments after v1.0.
Copyright/License	preprint: (License: CC BY 4.0) CC-BY-4.0

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