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Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC

Track reconstruction at the CMS experiment uses the Combinatorial Kalman Filter. The algorithm computation time scales exponentially with pileup, which will pose a problem for the High Level Trigger at the High Luminosity LHC. FPGAs, which are already used extensively in hardware triggers, are becom...

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Detalles Bibliográficos
Autores principales: Summers, Sioni, Rose, Andrew
Lenguaje:eng
Publicado: EDP Sciences 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921401003
http://cds.cern.ch/record/2728522
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author Summers, Sioni
Rose, Andrew
author_facet Summers, Sioni
Rose, Andrew
author_sort Summers, Sioni
collection CERN
description Track reconstruction at the CMS experiment uses the Combinatorial Kalman Filter. The algorithm computation time scales exponentially with pileup, which will pose a problem for the High Level Trigger at the High Luminosity LHC. FPGAs, which are already used extensively in hardware triggers, are becoming more widely used for compute acceleration. With a combination of high performance, energy efficiency, and predictable and low latency, FPGA accelerators are an interesting technology for high energy physics. Here, progress towards porting of the CMS track reconstruction to Maxeler Technologies’ Dataflow Engines is shown, programmed with their high level language MaxJ. The performance is compared to CPUs, and further steps to optimise for the architecture are presented.
id oai-inspirehep.net-1760500
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher EDP Sciences
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spelling oai-inspirehep.net-17605002020-08-22T20:37:54Zdoi:10.1051/epjconf/201921401003http://cds.cern.ch/record/2728522engSummers, SioniRose, AndrewKalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHCDetectors and Experimental TechniquesComputing and ComputersTrack reconstruction at the CMS experiment uses the Combinatorial Kalman Filter. The algorithm computation time scales exponentially with pileup, which will pose a problem for the High Level Trigger at the High Luminosity LHC. FPGAs, which are already used extensively in hardware triggers, are becoming more widely used for compute acceleration. With a combination of high performance, energy efficiency, and predictable and low latency, FPGA accelerators are an interesting technology for high energy physics. Here, progress towards porting of the CMS track reconstruction to Maxeler Technologies’ Dataflow Engines is shown, programmed with their high level language MaxJ. The performance is compared to CPUs, and further steps to optimise for the architecture are presented.EDP Sciencesoai:inspirehep.net:17605002019
spellingShingle Detectors and Experimental Techniques
Computing and Computers
Summers, Sioni
Rose, Andrew
Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC
title Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC
title_full Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC
title_fullStr Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC
title_full_unstemmed Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC
title_short Kalman Filter track reconstruction on FPGAs for acceleration of the High Level Trigger of the CMS experiment at the HL-LHC
title_sort kalman filter track reconstruction on fpgas for acceleration of the high level trigger of the cms experiment at the hl-lhc
topic Detectors and Experimental Techniques
Computing and Computers
url https://dx.doi.org/10.1051/epjconf/201921401003
http://cds.cern.ch/record/2728522
work_keys_str_mv AT summerssioni kalmanfiltertrackreconstructiononfpgasforaccelerationofthehighleveltriggerofthecmsexperimentatthehllhc
AT roseandrew kalmanfiltertrackreconstructiononfpgasforaccelerationofthehighleveltriggerofthecmsexperimentatthehllhc