# Continuous Performance Benchmarking Framework for ROOT

## TL;DR

This paper introduces a continuous benchmarking framework for ROOT, enabling developers to monitor and analyze performance regressions across multiple architectures and subsystems over time.

## Contribution

It presents a comprehensive, industry-aligned framework for continuous performance monitoring of ROOT, including historical data analysis for key subsystems.

## Key findings

- Effective detection of performance regressions over time
- Multi-architecture performance insights
- Historical data supports performance optimization

## Abstract

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.