Computational challenges for MC event generation

Buckley, A. (2020) Computational challenges for MC event generation. Journal of Physics: Conference Series, 1525, 012023. (doi: 10.1088/1742-6596/1525/1/012023)

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Abstract

The sophistication of fully exclusive MC event generation has grown at an extraordinary rate since the start of the LHC era, but has been mirrored by a similarly extraordinary rise in the CPU cost of state-of-the-art MC calculations. The reliance of experimental analyses on these calculations raises the disturbing spectre of MC computations being a leading limitation on the physics impact of the HL-LHC, with MC trends showing more signs of further cost-increases rather than the desired speed-ups. I review the methods and bottlenecks in MC computation, and areas where new computing architectures, machine-learning methods, and social structures may help to avert calamity.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Buckley, Professor Andy
Authors: Buckley, A.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QC Physics
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Journal of Physics: Conference Series
Publisher:IOP Publishing
ISSN:1742-6588
ISSN (Online):1742-6596
Published Online:07 July 2020
Copyright Holders:Copyright © The Author(s) 2021
First Published:First published in Journal of Physics: Conference Series 1525:012023
Publisher Policy:Reproduced under a Creative Commons Licence
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300337Innovative Network for Monte Carlo Event Generators for LHV PhysicsAndrew BuckleyEuropean Commission (EC)N/AP&S - Physics & Astronomy
300260New physics studies with heavy flavour at the LHCAndrew BuckleyThe Royal Society (ROYSOC)UF160548P&S - Physics & Astronomy