Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
---|---|---|
Article Number | 05008 | |
Number of page(s) | 6 | |
Section | Sustainable and Collaborative Software Engineering | |
DOI | https://doi.org/10.1051/epjconf/202429505008 | |
Published online | 06 May 2024 |
https://doi.org/10.1051/epjconf/202429505008
Is Julia ready to be adopted by HEP?
1 Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany
2 IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
3 CERN, European Organization for Nuclear Research, Geneva, Switzerland
4 Center for Advanced Systems Understanding, Görlitz, Germany
5 Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
6 Max-Planck-Institut für Physik, Munich, Germany
7 Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge, MA, USA
8 Universidad Antonio Nariño, Ibagué, Colombia
9 Princeton University, Princeton, NJ, USA
10 Pacific Northwest National Laboratory, Richland, WA, USA
* Speaker. tamas.gal@fau.de
Published online: 6 May 2024
The Julia programming language was created 10 years ago and is now a mature and stable language with a large ecosystem including more than 8,000 third-party packages. It was designed for scientific programming to be a high-level and dynamic language as Python is, while achieving runtime performances comparable to C/C++ or even faster. With this, we ask ourselves if the Julia language and its ecosystem is ready now for its adoption by the High Energy Physics community. We will report on a number of investigations and studies of the Julia language that have been done for various representative HEP applications, ranging from computing intensive initial data processing of experimental data and simulation, to final interactive data analysis and plotting. Aspects of collaborative code development of large software within a HEP experiment has also been investigated: scalability with large development teams, continuous integration and code test, code reuse, language interoperability to enable an adiabatic migration of packages and tools, software installation and distribution, training of the community, benefit from development from industry and academia from other fields.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.