Performance of Julia for High Energy Physics Analyses
arXiv:2003.11952 · doi:10.1007/s41781-021-00053-3
Abstract
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.
arXiv comment16 pages, 4 pages, 1 table, 3 code listings
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- Julia in HEP
- FeAmGen.jl: A Julia Program for Feynman Amplitude Generation
- Fast Jet Finding in Julia
- Primer on ILC Physics and SiD Software Tools