TY  - CONF
AU  - Carceller, Juan Miguel
AU  - Gaede, Frank
AU  - Ganis, Gerardo
AU  - Hegner, Benedikt
AU  - Helsens, Clement
AU  - Madlener, Thomas
AU  - Sailer, André
AU  - Stewart, Graeme A.
AU  - Volkl, Valentin
TI  - Towards podio v1.0 - A first stable release of the EDM toolkit
JO  - The European physical journal / Web of Conferences
VL  - 295
SN  - 2100-014X
CY  - Les Ulis
PB  - EDP Sciences
M1  - PUBDB-2024-07231
SP  - 06018
PY  - 2024
AB  - 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.
T2  - 26th International Conference on Computing in High Energy and Nuclear Physics
CY  - 8 May 2023 - 12 May 2023, Norfolk, Virgina (USA)
Y2  - 8 May 2023 - 12 May 2023
M2  - Norfolk, Virgina, USA
LB  - PUB:(DE-HGF)16 ; PUB:(DE-HGF)8
DO  - DOI:10.1051/epjconf/202429506018
UR  - https://bib-pubdb1.desy.de/record/618909
ER  -