English

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

R2 v1 2026-06-23T10:36:50.674Z