Foundational software libraries such as ROOT are under intense pressure to avoid software regression, including performance regressions. Continuous performance benchmarking, as a part of continuous integration and other code quality testing, is an industry best-practice to understand how the performance of a software product evolves over time. We present a framework, built from industry best practices and tools, to help to understand ROOT code performance and monitor the efficiency of the code for a several processor architectures. It additionally allows historical performance measurements for ROOT I/O, vectorization and parallelization sub-systems.
@article{arxiv.1812.03149,
title = {Continuous Performance Benchmarking Framework for ROOT},
author = {Oksana Shadura and Vassil Vassilev and Brian Paul Bockelman},
journal= {arXiv preprint arXiv:1812.03149},
year = {2019}
}
Comments
8 pages, 5 figures, CHEP 2018 - 23rd International Conference on Computing in High Energy and Nuclear Physics