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FPGA-based real-time data processing for accelerating reconstruction at LHCb

<!--HTML-->In Run-3 beginning in 2022, the LHCb software trigger will start reconstructing events at the LHC average crossing rate of 30 MHz. Within the upgraded DAQ system, LHCb established a testbed for new heterogeneous computing solutions for real-time event reconstruction, in view of futu...

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Detalles Bibliográficos
Autor principal: Lazzari, Federico
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2782478
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author Lazzari, Federico
author_facet Lazzari, Federico
author_sort Lazzari, Federico
collection CERN
description <!--HTML-->In Run-3 beginning in 2022, the LHCb software trigger will start reconstructing events at the LHC average crossing rate of 30 MHz. Within the upgraded DAQ system, LHCb established a testbed for new heterogeneous computing solutions for real-time event reconstruction, in view of future runs at even higher luminosities. One such solution is a highly-parallelized custom tracking processor (“Artificial Retina”), implemented in state of the art FPGA devices connected by fast serial links. We describe the status of the development of a life-size demonstrator system for the reconstruction of pixel tracking detectors, that will run on real data during Run-3.
id cern-2782478
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27824782022-11-02T22:02:13Zhttp://cds.cern.ch/record/2782478engLazzari, FedericoFPGA-based real-time data processing for accelerating reconstruction at LHCbTWEPP 2021 Topical Workshop on Electronics for Particle PhysicsConferences<!--HTML-->In Run-3 beginning in 2022, the LHCb software trigger will start reconstructing events at the LHC average crossing rate of 30 MHz. Within the upgraded DAQ system, LHCb established a testbed for new heterogeneous computing solutions for real-time event reconstruction, in view of future runs at even higher luminosities. One such solution is a highly-parallelized custom tracking processor (“Artificial Retina”), implemented in state of the art FPGA devices connected by fast serial links. We describe the status of the development of a life-size demonstrator system for the reconstruction of pixel tracking detectors, that will run on real data during Run-3.oai:cds.cern.ch:27824782021
spellingShingle Conferences
Lazzari, Federico
FPGA-based real-time data processing for accelerating reconstruction at LHCb
title FPGA-based real-time data processing for accelerating reconstruction at LHCb
title_full FPGA-based real-time data processing for accelerating reconstruction at LHCb
title_fullStr FPGA-based real-time data processing for accelerating reconstruction at LHCb
title_full_unstemmed FPGA-based real-time data processing for accelerating reconstruction at LHCb
title_short FPGA-based real-time data processing for accelerating reconstruction at LHCb
title_sort fpga-based real-time data processing for accelerating reconstruction at lhcb
topic Conferences
url http://cds.cern.ch/record/2782478
work_keys_str_mv AT lazzarifederico fpgabasedrealtimedataprocessingforacceleratingreconstructionatlhcb
AT lazzarifederico twepp2021topicalworkshoponelectronicsforparticlephysics