Computational challenges for MC event generation
High Energy Physics - Phenomenology
2020-08-26 v2 High Energy Physics - Experiment
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.
Keywords
Cite
@article{arxiv.1908.00167,
title = {Computational challenges for MC event generation},
author = {Andy Buckley},
journal= {arXiv preprint arXiv:1908.00167},
year = {2020}
}
Comments
Based on a plenary talk at ACAT 2019