Cargando…

GPU Enhancement of the Trigger to Extend Physics Reach at the LHC

Significant new challenges are continuously confronting the High Energy Physics (HEP) experiments, in particular the two detectors at the Large Hadron Collider (LHC) at CERN, where nominal conditions deliver proton-proton collisions to the detectors at a rate of 40 MHz. This rate must be significant...

Descripción completa

Detalles Bibliográficos
Autores principales: Halyo, V., Hunt, A., Jindal, P., LeGresley, P., Lujan, P.
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/8/10/P10005
http://cds.cern.ch/record/1550044
_version_ 1780930193944215552
author Halyo, V.
Hunt, A.
Jindal, P.
LeGresley, P.
Lujan, P.
author_facet Halyo, V.
Hunt, A.
Jindal, P.
LeGresley, P.
Lujan, P.
author_sort Halyo, V.
collection CERN
description Significant new challenges are continuously confronting the High Energy Physics (HEP) experiments, in particular the two detectors at the Large Hadron Collider (LHC) at CERN, where nominal conditions deliver proton-proton collisions to the detectors at a rate of 40 MHz. This rate must be significantly reduced to comply with both the performance limitations of the mass storage hardware and the capabilities of the computing resources to process the collected data in a timely fashion for physics analysis. At the same time, the physics signals of interest must be retained with high efficiency. The quest for rare new physics phenomena at the LHC leads us to evaluate a Graphics Processing Unit (GPU) enhancement of the existing High-Level Trigger (HLT), made possible by the current flexibility of the trigger system, which not only provides faster and more efficient event selection, but also includes the possibility of new complex triggers that were not previously feasible. A new tracking algorithm is evaluated on a NVIDIA Tesla K20c GPU, allowing for the first time the reconstruction of long-lived particles at the tracker system in the trigger. Preliminary time performance and efficiency will be presented.
id cern-1550044
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-15500442021-05-03T20:07:23Zdoi:10.1088/1748-0221/8/10/P10005http://cds.cern.ch/record/1550044engHalyo, V.Hunt, A.Jindal, P.LeGresley, P.Lujan, P.GPU Enhancement of the Trigger to Extend Physics Reach at the LHCDetectors and Experimental TechniquesSignificant new challenges are continuously confronting the High Energy Physics (HEP) experiments, in particular the two detectors at the Large Hadron Collider (LHC) at CERN, where nominal conditions deliver proton-proton collisions to the detectors at a rate of 40 MHz. This rate must be significantly reduced to comply with both the performance limitations of the mass storage hardware and the capabilities of the computing resources to process the collected data in a timely fashion for physics analysis. At the same time, the physics signals of interest must be retained with high efficiency. The quest for rare new physics phenomena at the LHC leads us to evaluate a Graphics Processing Unit (GPU) enhancement of the existing High-Level Trigger (HLT), made possible by the current flexibility of the trigger system, which not only provides faster and more efficient event selection, but also includes the possibility of new complex triggers that were not previously feasible. A new tracking algorithm is evaluated on a NVIDIA Tesla K20c GPU, allowing for the first time the reconstruction of long-lived particles at the tracker system in the trigger. Preliminary time performance and efficiency will be presented.Significant new challenges are continuously confronting the High Energy Physics (HEP) experiments, inparticular the two detectors at the Large Hadron Collider (LHC) atCERN, where nominal conditions deliver proton-proton collisions to thedetectors at a rate of 40 MHz. This rate must be significantly reducedto comply with both the performance limitations of the mass storagehardware and the capabilities of the computing resources to processthe collected data in a timely fashion for physics analysis. At thesame time, the physics signals of interest must be retained with highefficiency.The quest for rare new physics phenomena at the LHC leads toevaluation of a Graphics Processing Unit (GPU) enhancement for theexisting High-Level Trigger (HLT), made possible by the currentflexibility of the trigger system, which not only provides faster andmore efficient event selection, but also includes the possibility ofnew complex triggers that were not previously feasible. A new trackingalgorithm is evaluated on a NVIDIA Tesla K20c GPU, allowing for thefirst time the reconstruction of long-lived particles at the trackersystem in the trigger. Preliminary time performance and efficiencywill be presented.Significant new challenges are continuously confronting the High Energy Physics (HEP) experiments, in particular the two detectors at the Large Hadron Collider (LHC) at CERN, where nominal conditions deliver proton-proton collisions to the detectors at a rate of 40 MHz. This rate must be significantly reduced to comply with both the performance limitations of the mass storage hardware and the capabilities of the computing resources to process the collected data in a timely fashion for physics analysis. At the same time, the physics signals of interest must be retained with high efficiency. The quest for rare new physics phenomena at the LHC leads us to evaluate a Graphics Processing Unit (GPU) enhancement of the existing High-Level Trigger (HLT), made possible by the current flexibility of the trigger system, which not only provides faster and more efficient event selection, but also includes the possibility of new complex triggers that were not previously feasible. A new tracking algorithm is evaluated on a NVIDIA Tesla K20c GPU, allowing for the first time the reconstruction of long-lived particles at the tracker system in the trigger. Preliminary time performance and efficiency will be presented.arXiv:1305.4855oai:cds.cern.ch:15500442013-05-21
spellingShingle Detectors and Experimental Techniques
Halyo, V.
Hunt, A.
Jindal, P.
LeGresley, P.
Lujan, P.
GPU Enhancement of the Trigger to Extend Physics Reach at the LHC
title GPU Enhancement of the Trigger to Extend Physics Reach at the LHC
title_full GPU Enhancement of the Trigger to Extend Physics Reach at the LHC
title_fullStr GPU Enhancement of the Trigger to Extend Physics Reach at the LHC
title_full_unstemmed GPU Enhancement of the Trigger to Extend Physics Reach at the LHC
title_short GPU Enhancement of the Trigger to Extend Physics Reach at the LHC
title_sort gpu enhancement of the trigger to extend physics reach at the lhc
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1748-0221/8/10/P10005
http://cds.cern.ch/record/1550044
work_keys_str_mv AT halyov gpuenhancementofthetriggertoextendphysicsreachatthelhc
AT hunta gpuenhancementofthetriggertoextendphysicsreachatthelhc
AT jindalp gpuenhancementofthetriggertoextendphysicsreachatthelhc
AT legresleyp gpuenhancementofthetriggertoextendphysicsreachatthelhc
AT lujanp gpuenhancementofthetriggertoextendphysicsreachatthelhc