Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC

@article{Valassi2021ChallengesIM,
  title={Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC},
  author={The Hsf Physics Event Generator WG Andrea Valassi and Efe Yazgan and J. A. Mcfayden and Simone Amoroso and Joshua Lorne Bendavid and Andy Buckley and Matteo Cacciari and Taylor Childers and Vitaliano Ciulli and R. Frederix and Stefano Frixione and Francesco Giuli and Alexander Grohsjean and Christian A. Gutschow and Stefan Hoche and Walter Hopkins and Dmitri Konstantinov and Frank Krauss and Qiang Li and Leif Lonnblad and Fabio Maltoni and Michelangelo M. Mangano and Zach Marshall and Olivier Mattelaer and J Fernandez Menendez and Stephen Mrenna and Servesh Muralidharan and Tobias Neumann and Simon Platzer and Stefan Prestel and Stefan Roiser and Marek Schonherr and Holger Schulz and Markus W. Schulz and Elizabeth Sexton-Kennedy and Frank Siegert and Andrzej Si'odmok and Graeme Andrew Stewart},
  journal={Computing and Software for Big Science},
  year={2021},
  volume={5},
  pages={1-19}
}
We review the main software and computing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of the High-Luminosity LHC (HL-LHC) physics programme. This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group as an input to the LHCC review of HL-LHC computing, which has started in May 2020. 
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18 Citations
Background Citations
6
Methods Citations
1

18 Citations

Citation Type

Citation Type

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TLDR
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TLDR
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TLDR
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PDFFlow: parton distribution functions on GPU
Computing Challenges for Event Generators
1Argonne National Laboratory, Lemont, IL, 60439 2Thomas Jefferson National Accelerator Facility, Newport News, VA 23606, USA 3Department of Physics and Astronomy, University of Pittsburgh,…
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