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1.
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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
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2.
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PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany
/ Alshehri, Azzah (Ain Shames U.) ; Bürger, Jan (KISTI, Daejeon) ; Chopra, Saransh (University Coll. London) ; Eich, Niclas (RWTH Aachen U.) ; Eppelt, Jonas (KIT, Karlsruhe, TTP) ; Erdmann, Martin (RWTH Aachen U.) ; Eschle, Jonas (Syracuse U.) ; Fackeldey, Peter (KISTI, Daejeon ; RWTH Aachen U.) ; Farkas, Maté (RWTH Aachen U.) ; Feickert, Matthew (Wisconsin U., Madison) et al.
The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 2024. [...]
arXiv:2410.02112.
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16.
Fulltext
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3.
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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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4.
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Second Analysis Ecosystem Workshop Report
/ Aly, Mohamed (Manchester U.) ; Burzynski, Jackson (Simon Fraser U.) ; Cardwell, Bryan (Virginia U.) ; Craik, Daniel C. (Zurich U.) ; van Daalen, Tal (Washington U., Seattle) ; Dado, Tomas (Dortmund U.) ; Das, Ayanabha (Prague, Tech. U.) ; Delgado Peris, Antonio (Madrid, CIEMAT) ; Doglioni, Caterina (Manchester U.) ; Elmer, Peter (Princeton U.) et al.
The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the needs of HL-LHC and DUNE, as well as the very pressing needs of LHC Run 3 analysis. [...]
arXiv:2212.04889 ; HSF-DOC-2022-02 ; FERMILAB-CONF-22-955-PPD.
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2022. - 27 p.
Fermilab Library Server - Fulltext - Fulltext
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5.
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HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis
/ Pivarski, Jim (ed.) (Princeton U.) ; Rodrigues, Eduardo (ed.) (Liverpool U.) ; Pedro, Kevin (ed.) (Fermilab) ; Shadura, Oksana (U. Nebraska, Lincoln) ; Krikler, Benjamin (Bristol U.) ; Stewart, Graeme A. (CERN)
This paper was prepared by the HEP Software Foundation (HSF) PyHEP Working Group as input to the second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing, which took place in November, 2021. [...]
arXiv:2202.02194 ; FERMILAB-CONF-22-061-SCD.
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26 p.
Fermilab Library Server - Fulltext - Fulltext
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6.
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Coffea: Columnar Object Framework For Effective Analysis
/ CMS Collaboration
The coffea framework provides a new approach to High-Energy Physics analysis, via columnar operations, that improves time-to-insight, scalability, portability, and reproducibility of analysis. It is implemented with the Python programming language, the scientific python package ecosystem, and commodity big data technologies. [...]
arXiv:2008.12712; FERMILAB-CONF-20-494-CMS-SCD; CMS-CR-2020-069.-
Geneva : CERN, 2020 - 6 p.
- Published in : EPJ Web Conf. 245 (020) 06012
Fulltext: 2008.12712 - PDF; CR2020_069 - PDF; fulltext1813893 - PDF; fermilab-conf-20-494-cms-scd - PDF; External links: Fermilab Library Server (fulltext available); Fermilab News article; GitHub
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.06012
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7.
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Learning from the Pandemic: the Future of Meetings in HEP and Beyond
/ Neubauer, Mark S. (Illinois U., Urbana (main)) ; Adams, Todd (Florida State U.) ; Adelman-McCarthy, Jennifer (Fermilab) ; Benelli, Gabriele (Brown U.) ; Bose, Tulika (Wisconsin U., Madison) ; Britton, David (Glasgow U.) ; Burchat, Pat (Stanford U., ITP) ; Butler, Joel (Fermilab) ; Cartwright, Timothy A. (Wisconsin U., Madison) ; Davídek, Tomáš (Charles U.) et al.
The COVID-19 pandemic has by-and-large prevented in-person meetings since March 2020. [...]
arXiv:2106.15783 ; FERMILAB-PUB-21-308-ND-PPD-SCD.
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55 p.
Fermilab Library Server - Fulltext - Fulltext
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8.
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AwkwardForth: accelerating Uproot with an internal DSL
/ Pivarski, Jim (speaker) (Princeton University)
File formats for generic data structures, such as ROOT, Avro, and Parquet, pose a problem for deserialization: it must be fast, but its code depends on the type of the data structure, not known at compile-time. Just-in-time compilation can satisfy both constraints, but we propose a more portable solution: specialized virtual machines. [...]
2021 - 717.
Conferences; 25th International Conference on Computing in High Energy & Nuclear Physics
External links: Talk details; Event details
In : 25th International Conference on Computing in High Energy & Nuclear Physics
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9.
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Analysis Description Languages for the LHC
/ Sekmen, Sezen (Kyungpook Natl. U.) ; Gras, Philippe (DAPNIA, Saclay) ; Gray, Lindsey (Fermilab) ; Krikler, Benjamin (Bristol U.) ; Pivarski, Jim (Princeton U.) ; Prosper, Harrison B. (Florida State U.) ; Rizzi, Andrea (INFN, Pisa) ; Unel, Gokhan (UC, Irvine) ; Watts, Gordon (Washington U., Seattle)
An analysis description language is a domain specific language capable of describing the contents of an LHC analysis in a standard and unambiguous way, independent of any computing framework. It is designed for use by anyone with an interest in, and knowledge of, LHC physics, i.e., experimentalists, phenomenologists and other enthusiasts. [...]
arXiv:2011.01950; FERMILAB-PUB-21-145-SCD.-
SISSA, 2020-09-25 - 5 p.
- Published in : PoS LHCP2020 (2021) 065
Fulltext: 2011.01950 - PDF; fermilab-pub-21-145-scd - PDF; PoS(LHCP2020)065 - PDF; External link: Fermilab Library Server
In : 8th Conference of Large Hadron Collider Physics (LHCP), Online, 25 - 30 May 2020, pp.065
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