TY - JOUR
T1 - Is Julia ready to be adopted by HEP?
AU - Gál, Tamás
AU - Gras, Philippe
AU - Hegner, Benedikt
AU - Acosta, Uwe Hernandez
AU - Kluth, Stefan
AU - Ling, Jerry
AU - Mato, Pere
AU - Moreno, Alexander
AU - Pivarski, Jim
AU - Schulz, Oliver
AU - Stewart, Graeme
AU - Strube, Jan
AU - Vasilev, Vasil
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences.
PY - 2024/5/6
Y1 - 2024/5/6
N2 - 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.
AB - 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.
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U2 - 10.1051/epjconf/202429505008
DO - 10.1051/epjconf/202429505008
M3 - Conference article
AN - SCOPUS:85212203070
SN - 2101-6275
VL - 295
JO - EPJ Web of Conferences
JF - EPJ Web of Conferences
M1 - 05008
T2 - 26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023
Y2 - 8 May 2023 through 12 May 2023
ER -