Commissioning LHCb's GPU high level trigger

被引：0
|
作者：
Agapopoulou, Christina [1 ]
机构：
[1] Sorbonne Univ, LPNHE, Paris Diderot Sorbonne Paris Cite, CNRS,IN2P3, Paris, France
来源：
20TH INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH | 2023年 / 2438卷
基金：
欧洲研究理事会;
关键词：
D O I：
10.1088/1742-6596/2438/1/012017
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
From 2022 onward, the upgraded LHCb experiment will use a triggerless readout system collecting data at an event rate of 30 MHz. A software-only High Level Trigger will enable unprecedented flexibility for trigger selections. During the first stage (HLT1), a sub-set of the full offline track reconstruction for charged particles is run to select particles of interest based on single or two-track selections. This includes decoding the raw data, clustering of hits, pattern recognition, as well as track fitting, ghost track rejection with machine learning techniques and finally event selections. HLT1 will be processed entirely on O(100) GPUs. We will present the integration of the GPU HLT1 into LHCb's data acquisition system in preparation for data taking in 2022.
引用
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页数：6
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