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Published Articles
Report number	arXiv:1812.03992
Title	Optimizing frameworks’ performance using C++ Modules Aware ROOT
Related title	Optimizing frameworks' performance using C++ Modules Aware ROOT
Author(s)	Takahashi, Yuka (Princeton U. (main) ; CERN) ; Vassilev, Vassil (Princeton U. (main)) ; Shadura, Oksana (U. Nebraska, Lincoln) ; Isemann, Raphael (CERN ; Chalmers U. Tech.)
Publication	2019-09-17
Imprint	2018-12-10
Number of pages	8
Note	8 pages, 3 figures, 6 listing, CHEP 2018 - 23rd International Conference on Computing in High Energy and Nuclear Physics
In:	EPJ Web Conf. 214 (2019) 02011
In:	23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02011
DOI	10.1051/epjconf/201921402011
Subject category	Computing and Computers
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.
Copyright/License	publication: © 2019-2024 The Authors (License: CC-BY-4.0)

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