Treffer: Performance of Julia for High Energy Physics Analyses

Title:
Performance of Julia for High Energy Physics Analyses
Authors:
Stanitzki, Marcel, Strube, Jan
Source:
Computing and Software for Big Science (2021) 5:10
Publication Year:
2020
Collection:
High Energy Physics - Experiment
Physics (Other)
Subject Terms:
Physics - Computational Physics, High Energy Physics - Experiment
Document Type:
Report Working Paper
DOI:
10.1007/s41781-021-00053-3
Access URL:
http://arxiv.org/abs/2003.11952
Accession Number:
edsarx.2003.11952
Database:
arXiv

Weitere Informationen

We argue that the Julia programming language is a compelling alternative to implementations in Python and C++ for common data analysis workflows in high energy physics. We compare the speed of implementations of different workflows in Julia with those in Python and C++. Our studies show that the Julia implementations are competitive for tasks that are dominated by computational load rather than data access. For work that is dominated by data access, we demonstrate an application with concurrent file reading and parallel data processing.
Comment: 16 pages, 4 pages, 1 table, 3 code listings