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Is Julia ready to be adopted by HEP? / Gál, Tamás (Erlangen - Nuremberg U.) ; Gras, Philippe (IRFU, Saclay) ; Hegner, Benedikt (CERN) ; Hernandez Acosta, Uwe (HZDR, Dresden ; CASUS) ; Kluth, Stefan (Munich, Max Planck Inst.) ; Ling, Jerry (Harvard U.) ; Mato, Pere (CERN) ; Moreno, Alexander (Antonio Narino U.) ; Pivarski, Jim (Princeton U.) ; Schulz, Oliver (Munich, Max Planck Inst.) et al.
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. [...]
2024 - 6 p. - Published in : EPJ Web Conf. 295 (2024) 05008 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.05008

Detaljnije - Slični zapisi

Potential of the Julia programming language for high energy physics computing / Eschle, Jonas (U. Zurich (main)) ; Gál, Tamás (Erlangen - Nuremberg U., Theorie III) ; Giordano, Mosè (Imperial Coll., London) ; Gras, Philippe (IRFU, Saclay) ; Hegner, Benedikt (CERN) ; Heinrich, Lukas (Munich, Max Planck Inst.) ; Hernandez Acosta, Uwe (HZDR, Dresden) ; Kluth, Stefan (Munich, Max Planck Inst.) ; Ling, Jerry (Harvard U.) ; Mato, Pere (CERN) et al.
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage. To meet these requirements, a compiled high-performance language is typically used; while for physicists, who focus on the application when developing the code, better research productivity pleads for a high-level programming language [...]
arXiv:2306.03675.- 2023-10-05 - 24 p. - Published in : Comput. Softw. Big Sci. 7 (2023) 10 Fulltext: document - PDF; 2306.03675 - PDF;

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Također vidi: slična imena autora
81	Schulz, O
2	Schulz, O.
1	Schulz, Olaf

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