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.
@article{arxiv.1812.03992,
title = {Optimizing Frameworks Performance Using C++ Modules Aware ROOT},
author = {Yuka Takahashi and Vassil Vassilev and Oksana Shadura and Raphael Isemann},
journal= {arXiv preprint arXiv:1812.03992},
year = {2019}
}
Comments
8 pages, 3 figures, 6 listing, CHEP 2018 - 23rd International Conference on Computing in High Energy and Nuclear Physics