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arXiv · 2501.09271

Parallelized Event Data Management System Based on MT-SNiPER Framework and PODIO

Qianqian Shi·Teng Li·Xingtao Huang
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Abstract

Software framework serves as a skeleton for the offline data processing software for many high energy physics (HEP) experiments. The event data management, including the event data model (EDM), transient event store and data input/output, implements the core functionalities of the framework, and has a great impact on the performance of the entire offline software. Future HEP experiments are generating increasingly large amounts of data, bringing challenges to offline data processing. To address this issue, a common event data management system that supports efficient parallelized data processing applications has been developed based on SNiPER (Software for Non-collider Physics ExpeRiments) common software framework as well as PODIO, a common EDM toolkit for future HEP experiments. In this paper, the implementation of a parallelized event data management (PEDM) system is introduced, including the integration with MT-SNiPER and PODIO, as well as the implementation of GlobalStore to support multi-threaded event processing. Finally, the application and performance evaluation of the data management system in OSCAR (offline software of Super Tau Charm Facility) is presented.

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Qianqian Shi, Teng Li, Xingtao Huang. 2025-01-16. Parallelized Event Data Management System Based on MT-SNiPER Framework and PODIO. https://arxiv.org/abs/2501.09271

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