Computational challenges for MC event generation
Computational challenges for MC event generation
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MC 事件生成的计算挑战
DOI：
10.1088/1742-6596/1525/1/012023
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Andy Buckley
中科院分区：
文献类型：
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作者：
Andy Buckley
自LHC时代开始以来，完全独家MC事件生成的复杂性以非凡的速度增长，但最先进的MC计算的CPU成本也出现了类似的非凡增长。实验分析对这些计算的依赖提出了MC计算的令人不安的幽灵，这是对HL-LHC物理影响的主要限制，MC趋势显示出更多的进一步成本增加的迹象，而不是期望的加速。我回顾了MC计算的方法和瓶颈，以及新的计算架构，机器学习方法和社会结构可能有助于避免灾难的领域。
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.