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001 | 1041833 | ||
005 | 20250514202226.0 | ||
024 | 7 | _ | |2 datacite_doi |a 10.34734/FZJ-2025-02465 |
037 | _ | _ | |a FZJ-2025-02465 |
041 | _ | _ | |a English |
100 | 1 | _ | |0 P:(DE-HGF)0 |a Delval, Aurélien |b 0 |e Corresponding author |
111 | 2 | _ | |a 35th Parallel CFD International Conference 2024 |c Bonn |d 2024-09-02 - 2024-09-04 |g ParCFD 2024 |w Germany |
245 | _ | _ | |a Verificarlo CI: Continuous Integration for Numerical Optimization and Debugging |
260 | _ | _ | |a Jülich |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |c 2025 |
295 | 1 | 0 | |a Proceedings of the 35th Parallel CFD International Conference 2024 |
300 | _ | _ | |a 104 - 107 |
336 | 7 | _ | |2 ORCID |a CONFERENCE_PAPER |
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336 | 7 | _ | |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |a Contribution to a conference proceedings |b contrib |m contrib |s 1746716226_25574 |
336 | 7 | _ | |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |a Contribution to a book |m contb |
490 | 0 | _ | |a Schriften des Forschungszentrums Jülich IAS Series |v 69 |
520 | _ | _ | |a Floating-point accuracy is an important concern when developing numerical simulations or other compute-intensive codes. Tracking the introduction of numerical regression is often delayed until it provokes unexpected bug for the end-user. In this paper, we introduce Verificarlo CI, a continuous integration workflow for the numerical optimization and debugging of a code over the course of its development. We demonstrate applicability of Verificarlo CI on two test-case applications. |
700 | 1 | _ | |0 P:(DE-HGF)0 |a Coppens, François |b 1 |
700 | 1 | _ | |0 P:(DE-HGF)0 |a Petit, Eric |b 2 |
700 | 1 | _ | |0 P:(DE-HGF)0 |a Iakymchuk, Roman |b 3 |
700 | 1 | _ | |0 P:(DE-HGF)0 |a de Oliveira Castro, Pablo |b 4 |
773 | _ | _ | |a 10.34734/FZJ-2025-02465 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/1041833/files/106.pdf |y OpenAccess |
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