Speaker
Enrico Guiraud
(EP-SFT, CERN)
Description
ROOT's RDataFrame enables the development of high-performance, highly parallel HEP analyses in C++ and Python -- without requiring expert knowledge of multi-thread parallelization or ROOT I/O.
This contribution presents several features recently introduced in RDataFrame that improve the ergonomics of common HEP use cases and provides a glimpse of what is to come in the future. Topics will include interoperability of C++ and Python code, scaling up execution from a laptop to large computing clusters with minimal code changes, machine learning inference and user-friendly handling of systematic variations.
Summary
The latest news on RDataFrame, ROOT's modern and high-level analysis interface for C++ and Python.
Primary author
Enrico Guiraud
(EP-SFT, CERN)