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Train to Sustain
/ Malik, Sudhir (Puerto Rico U., Mayaguez) ; Lieret, Kilian (Princeton U.) ; Elmer, Peter (Princeton U.) ; Hernandez Villanueva, Michel (DESY) ; Roiser, Stefan (CERN)
The HSF/IRIS-HEP Software Training group provides software training skills to new researchers in High Energy Physics (HEP) and related communities. These skills are essential to produce high-quality and sustainable software needed to do the research. [...]
2024 - 5 p.
- Published in : EPJ Web Conf. 295 (2024) 05023
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.05023
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Acceleration beyond lowest order event generation. An outlook on further parallelism within MadGraph5_aMC@NLO
/ Wettersten, Zenny (CERN ; Vienna, OAW) ; Mattelaer, Olivier (Louvain U., CP3) ; Roiser, Stefan (CERN) ; Schöfbeck, Robert (Vienna, OAW) ; Valassi, Andrea (CERN)
An important area of high energy physics studies at the Large Hadron Collider (LHC) currently concerns the need for more extensive and precise comparison data. Important tools in this realm are event reweighing and evaluation of more precise next-to-leading order (NLO) processes via Monte Carlo event generators, especially in the context of the upcoming High Luminosity LHC. [...]
arXiv:2312.07440.-
2024 - 8 p.
- Published in : EPJ Web Conf.: 295 (2024) , pp. 10001
Fulltext: 2312.07440 - PDF; document - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.10001
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Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release
/ Hageboeck, Stephan (CERN) ; Childers, Taylor (Argonne (main)) ; Hopkins, Walter (Argonne (main)) ; Mattelaer, Olivier (Cathol. U. Louvain (main)) ; Nichols, Nathan (Argonne (main)) ; Roiser, Stefan (CERN) ; Teig, Jørgen (CERN) ; Valassi, Andrea (CERN) ; Vuosalo, Carl (U. Wisconsin, Madison (main)) ; Wettersten, Zenny (CERN)
Madgraph5_aMC@NLO is one of the most-frequently used Monte-Carlo event generators at the LHC, and an important consumer of compute resources. The software has been reengineered to maintain the overall look and feel of the user interface while speeding up event generation on CPUs and GPUs. [...]
arXiv:2312.02898.-
2024 - 8 p.
- Published in : EPJ Web Conf. 295 (2024) 11013
Fulltext: document - PDF; 2312.02898 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.11013
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Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release
/ Valassi, A. (CERN) ; Childers, T. (Argonne) ; Field, L. (CERN) ; Hageböck, S. (CERN) ; Hopkins, W. (Argonne) ; Mattelaer, O. (Louvain U., CP3) ; Nichols, N. (Argonne) ; Roiser, S. (CERN) ; Smith, D. (CERN) ; Teig, J. (CERN) et al.
The matrix element (ME) calculation in any Monte Carlo physics event generator is an ideal fit for implementing data parallelism with lockstep processing on GPUs and vector CPUs. [...]
arXiv:2303.18244.
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8 p.
Fulltext
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Developments in Performance and Portability for MadGraph5_aMC@NLO
/ Valassi, Andrea (CERN) ; Childers, Taylor (Argonne (main)) ; Field, Laurence (CERN) ; Hageboeck, Stefan (CERN) ; Hopkins, Walter (Argonne (main)) ; Mattelaer, Olivier (Cathol. U. Louvain (main)) ; Nichols, Nathan (Argonne (main)) ; Roiser, Stefan (CERN) ; Smith, David (CERN)
Event generators simulate particle interactions using Monte Carlo techniques, providing the primary connection between experiment and theory in experimental high energy physics. These software packages, which are the first step in the simulation worflow of collider experiments, represent approximately 5 to 20% of the annual WLCG usage for the ATLAS and CMS experiments. [...]
arXiv:2210.11122.-
2022-10-20 - 6 p.
- Published in : PoS: ICHEP2022 (2022) , pp. 212
Fulltext: document - PDF; 2210.11122 - PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.212
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Status of the GAUDI event-processing framework
/ Cattaneo, M (CERN) ; Frank, M (CERN) ; Mato, P (CERN) ; Ponce, S (CERN) ; Ranjard, F (CERN) ; Roiser, S (CERN) ; Belyaev, I (CERN ; Moscow, ITEP) ; Arnault, C (Orsay, LAL) ; Calafiura, P (LBNL, Berkeley) ; Day, C (LBNL, Berkeley) et al.
The GAUDI architecture and framework are designed to provide a common infrastructure and
environment for simulation, filtering, reconstruction and analysis applications. [...]
4 p.
Full text
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Event Generators for High-Energy Physics Experiments
/ Campbell, J.M. (Fermilab) ; Diefenthaler, M. (Jefferson Lab) ; Hobbs, T.J. (Fermilab ; IIT, Chicago) ; Höche, Stefan (Fermilab) ; Isaacson, Joshua (Fermilab) ; Kling, Felix (DESY) ; Mrenna, Stephen (Fermilab) ; Reuter, J. (DESY) ; Alioli, S. (Milan Bicocca U. ; INFN, Milan Bicocca) ; Andersen, J.R. (Durham U., IPPP) et al.
We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of active development, and opportunities for future improvements. [...]
arXiv:2203.11110; CP3-22-12; DESY-22-042; FERMILAB-PUB-22-116-SCD-T; IPPP/21/51,
JLAB-PHY-22-3576; KA-TP-04-2022; LA-UR-22-22126; LU-TP-22-12; MCNET-22-04,
OUTP-22-03P; P3H-22-024; PITT-PACC 2207; UCI-TR-2022-02.-
2024-05-24 - 225 p.
- Published in : 10.21468/SciPostPhys.16.5.130
Fulltext: jt - PDF; 2203.11110 - PDF; Fulltext from Publisher: PDF; External links: JLab Document Server; Fermilab Library Server; eConf
In : 2021 Snowmass Summer Study, Seattle, WA, United States, 11 - 20 July 2021, pp.
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CHEP 2021: Preface to the Proceedings
/ Biscarat, Catherine (L2IT, Toulouse) ; Campana, Simone (CERN) ; Hegner, Benedikt (CERN) ; Roiser, Stefan (CERN) ; Rovelli, Chiara I (INFN, Rome ; Rome U.) ; Stewart, Graeme A (CERN)
The 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP), organised by CERN, took place as a virtual event from 17–21 May 2021. The conference attracted 1144 registered participants from 46 different countries. [...]
2021 - 10 p.
- Published in : EPJ Web Conf. 251 (2021) 00001
Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.00001
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