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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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Lenguaje: | eng |
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2022
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Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/2438/1/012017 http://cds.cern.ch/record/2801723 |
_version_ | 1780972719565701120 |
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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 |