Continuous Performance Benchmarking Framework for ROOT

被引：0

作者：

Shadura, Oksana ^{[1
]}

Vassilev, Vassil ^{[2
]}

Bockelman, Brian Paul ^{[1
]}

机构：

[1] Univ Nebraska, 1400 R St, Lincoln, NE 68588 USA

[2] Princeton Univ, Princeton, NJ 08544 USA

来源：

23RD INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2018) | 2019年 / 214卷

基金：

美国国家科学基金会;

关键词：

D O I：

10.1051/epjconf/201921405003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. 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 several processor architectures. It additionally allows historical performance measurements for ROOT I/O, vectorization and parallelization sub-systems.

引用

页数：8

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