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Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS

In the context of the high-luminosity large hadron collider (HL-LHC) upgrade, this work presents the latest update on the design of the FPGA firmware responsible of particle track reconstruction in the pattern recognition mezzanine (PRM) of the hardware-based tracking for the trigger (HTT) system, a...

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Autor principal: Poggi, Riccardo
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2674924
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author Poggi, Riccardo
author_facet Poggi, Riccardo
author_sort Poggi, Riccardo
collection CERN
description In the context of the high-luminosity large hadron collider (HL-LHC) upgrade, this work presents the latest update on the design of the FPGA firmware responsible of particle track reconstruction in the pattern recognition mezzanine (PRM) of the hardware-based tracking for the trigger (HTT) system, a subsystem of the ATLAS experiment trigger and data acquisition system. This computationally demanding task relies heavily on two FPGA features: the embedded in silicon digital signal processing (DSP) components and the performance of an available high bandwidth memory (HBM). These slides report the mathematical algorithm used for track reconstruction and analyses a preliminary performance test. These considerations are then used to provide estimates on the DSP and HBM resource usage in order to prove the feasibility of the firmware design. Finally, key factors for a parallel design are identified and outlook presented.
id cern-2674924
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
record_format invenio
spelling cern-26749242019-09-30T06:29:59Zhttp://cds.cern.ch/record/2674924engPoggi, RiccardoDigital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLASParticle Physics - ExperimentIn the context of the high-luminosity large hadron collider (HL-LHC) upgrade, this work presents the latest update on the design of the FPGA firmware responsible of particle track reconstruction in the pattern recognition mezzanine (PRM) of the hardware-based tracking for the trigger (HTT) system, a subsystem of the ATLAS experiment trigger and data acquisition system. This computationally demanding task relies heavily on two FPGA features: the embedded in silicon digital signal processing (DSP) components and the performance of an available high bandwidth memory (HBM). These slides report the mathematical algorithm used for track reconstruction and analyses a preliminary performance test. These considerations are then used to provide estimates on the DSP and HBM resource usage in order to prove the feasibility of the firmware design. Finally, key factors for a parallel design are identified and outlook presented.ATL-DAQ-SLIDE-2019-195oai:cds.cern.ch:26749242019-05-17
spellingShingle Particle Physics - Experiment
Poggi, Riccardo
Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS
title Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS
title_full Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS
title_fullStr Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS
title_full_unstemmed Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS
title_short Digital signal processing in FPGA for particle track reconstruction at the HL-LHC ATLAS
title_sort digital signal processing in fpga for particle track reconstruction at the hl-lhc atlas
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2674924
work_keys_str_mv AT poggiriccardo digitalsignalprocessinginfpgaforparticletrackreconstructionatthehllhcatlas