# Optimizing Frameworks Performance Using C++ Modules Aware ROOT

## TL;DR

This paper explores integrating C++ Modules into the ROOT data analysis framework to enhance runtime performance by reducing header parsing time, presenting experimental results and addressing associated challenges.

## Contribution

It introduces experimental support for C++ Modules in ROOT and evaluates their impact on performance, highlighting implementation challenges and benefits.

## Key findings

- C++ Modules reduce header parsing time in ROOT
- Performance improvements observed with C++ Modules integration
- Challenges include compatibility and implementation complexity

## Abstract

ROOT is a data analysis framework broadly used in and outside of High Energy Physics (HEP). Since HEP software frameworks always strive for performance improvements, ROOT was extended with experimental support of runtime C++ Modules. C++ Modules are designed to improve the performance of C++ code parsing. C++ Modules offers a promising way to improve ROOT's runtime performance by saving the C++ header parsing time which happens during ROOT runtime. This paper presents the results and challenges of integrating C++ Modules into ROOT.