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Commissioning LHCb’s GPU high level trigger

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 rec...

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Autor principal: Agapopoulou, Christina
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012017
http://cds.cern.ch/record/2801723
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author Agapopoulou, Christina
author_facet Agapopoulou, Christina
author_sort Agapopoulou, Christina
collection CERN
description 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.
id cern-2801723
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28017232023-08-24T18:49:57Zdoi:10.1088/1742-6596/2438/1/012017http://cds.cern.ch/record/2801723engAgapopoulou, ChristinaCommissioning LHCb’s GPU high level triggerParticle Physics - ExperimentFrom 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.LHCb-PROC-2022-002CERN-LHCb-PROC-2022-002oai:cds.cern.ch:28017232022-02-16
spellingShingle Particle Physics - Experiment
Agapopoulou, Christina
Commissioning LHCb’s GPU high level trigger
title Commissioning LHCb’s GPU high level trigger
title_full Commissioning LHCb’s GPU high level trigger
title_fullStr Commissioning LHCb’s GPU high level trigger
title_full_unstemmed Commissioning LHCb’s GPU high level trigger
title_short Commissioning LHCb’s GPU high level trigger
title_sort commissioning lhcb’s gpu high level trigger
topic Particle Physics - Experiment
url https://dx.doi.org/10.1088/1742-6596/2438/1/012017
http://cds.cern.ch/record/2801723
work_keys_str_mv AT agapopoulouchristina commissioninglhcbsgpuhighleveltrigger