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Tracking on GPU at LHCb’s fully software trigger

The LHCb experiment will use a fully software-based trigger to collect data from 2022 on, at an event rate of 30 MHz. During the first stage of the High-Level Trigger (HLT1), a partial track reconstruction, using efficient parallelisation techniques on GPU cards, is performed. This stage will reduce...

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Autor principal: Scarabotto, Alessandro
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2823783
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author Scarabotto, Alessandro
author_facet Scarabotto, Alessandro
author_sort Scarabotto, Alessandro
collection CERN
description The LHCb experiment will use a fully software-based trigger to collect data from 2022 on, at an event rate of 30 MHz. During the first stage of the High-Level Trigger (HLT1), a partial track reconstruction, using efficient parallelisation techniques on GPU cards, is performed. This stage will reduce the event rate by around a factor 30. Reconstructing tracks at 30 MHz represents a challenge which needs to be faced with very performant tracking algorithms. These proceedings focus on reconstruction and performance aspects of HLT1, giving particular attention to the algorithms reconstructing particles traversing the whole LHCb detector.
id cern-2823783
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28237832022-08-01T20:01:31Zhttp://cds.cern.ch/record/2823783engScarabotto, AlessandroTracking on GPU at LHCb’s fully software triggerParticle Physics - ExperimentThe LHCb experiment will use a fully software-based trigger to collect data from 2022 on, at an event rate of 30 MHz. During the first stage of the High-Level Trigger (HLT1), a partial track reconstruction, using efficient parallelisation techniques on GPU cards, is performed. This stage will reduce the event rate by around a factor 30. Reconstructing tracks at 30 MHz represents a challenge which needs to be faced with very performant tracking algorithms. These proceedings focus on reconstruction and performance aspects of HLT1, giving particular attention to the algorithms reconstructing particles traversing the whole LHCb detector.LHCb-PROC-2022-011CERN-LHCb-PROC-2022-011oai:cds.cern.ch:28237832022-08-01
spellingShingle Particle Physics - Experiment
Scarabotto, Alessandro
Tracking on GPU at LHCb’s fully software trigger
title Tracking on GPU at LHCb’s fully software trigger
title_full Tracking on GPU at LHCb’s fully software trigger
title_fullStr Tracking on GPU at LHCb’s fully software trigger
title_full_unstemmed Tracking on GPU at LHCb’s fully software trigger
title_short Tracking on GPU at LHCb’s fully software trigger
title_sort tracking on gpu at lhcb’s fully software trigger
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2823783
work_keys_str_mv AT scarabottoalessandro trackingongpuatlhcbsfullysoftwaretrigger