CERN Accelerating science

Article
Report number	arXiv:2309.17309
Title	Polyglot Jet Finding
Author(s)	Stewart, Graeme Andrew (CERN) ; Gras, Philippe (IRFU, Saclay) ; Hegner, Benedikt (CERN) ; Krasnopolski, Atell (Taras Shevchenko U.)
Publication	2024
Imprint	2023-09-29
Number of pages	9
In:	EPJ Web Conf. 295 (2024) 05017
In:	26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.05017
DOI	10.1051/epjconf/202429505017 (publication)
Subject category	physics.comp-ph ; Other Fields of Physics ; hep-ex ; Particle Physics - Experiment
Abstract	The evaluation of new computing languages for a large community, like HEP, involves comparison of many aspects of the languages' behaviour, ecosystem and interactions with other languages. In this paper we compare a number of languages using a common, yet non-trivial, HEP algorithm: the \akt clustering algorithm used for jet finding. We compare specifically the algorithm implemented in Python (pure Python and accelerated with numpy and numba), and Julia, with respect to the reference implementation in C++, from Fastjet. As well as the speed of the implementation we describe the ergonomics of the language for the coder, as well as the efforts required to achieve the best performance, which can directly impact on code readability and sustainability.
Copyright/License	publication: © 2024 The Authors (License: CC-BY-4.0) preprint: (License: CC BY 4.0)

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