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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...
Autores principales: | , |
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Lenguaje: | eng |
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EDP Sciences
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201921401003 http://cds.cern.ch/record/2728522 |
_version_ | 1780966430666129408 |
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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 |
record_format | invenio |
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 |