Speaker
Eichlersmith, Tom
(University of Minnesota)
Description
ROOT's TTree data structure has been highly successful and useful for HEP; nevertheless, alternative file formats now exist which may offer broader software tool support and more-stable in-memory interfacing. We present a data serialization library that produces a similar data structure within the HDF5 data format; supporting C++ standard collections, user-defined data types, and schema evolution of those types. This HDF5-based serialization shows improved performance compared to a similar ROOT-based serialization library when embedded into an event processing framework for a HEP experiment and opens the door to using other software that struggled to interface with the ROOT format.
| Consider for long presentation | Yes |
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Primary author
Eichlersmith, Tom
(University of Minnesota)
