Work

Continuous Performance Benchmarking Framework for ROOT

Year: 2019

Type: conference-paper

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. 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.

Source: EPJ Web of Conferences

DOI: 10.1051/epjconf/201921405003

Authors: Oksana Shadura, Vassil Vassilev, Brian Paul Bockelman

Institutions: University of Nebraska–Lincoln, Princeton University

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Science Foundation, CERN

Awards: Collaborative Research: SI2-SSI: Data-Intensive Analysis for High Energy Physics (DIANA/HEP), U.S. CMS Operations at the LHC, Collaborative Research: SI2-SSI: Data-Intensive Analysis for High Energy Physics (DIANA/HEP)