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"Potential of the Julia Programming Language for High Energy Physics Computing."

Jonas Eschle et al. (2023)

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DOI: 10.1007/S41781-023-00104-X

access: open

type: Journal Article

metadata version: 2023-11-12

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  dblp key:
  - journals/csbs/EschleGGGHHAKLMMBPSSSSV23
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  persistent URL:
  - https://dblp.org/rec/journals/csbs/EschleGGGHHAKLMMBPSSSSV23
Jonas Eschle, Tamás Gál, Mosè Giordano, Philippe Gras, Benedikt Hegner, Lukas Heinrich, Uwe Hernandez Acosta, Stefan Kluth, Jerry (Jiahong) Ling, Pere Mato, Mikhail Mikhasenko, Alexander Moreno Briceño, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme Andrew Stewart, Jan Strube, Vassil Vassilev:
Potential of the Julia Programming Language for High Energy Physics Computing. Comput. Softw. Big Sci. 7(1): 10 (2023)

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