Cargando…
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...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2782478 |
_version_ | 1780972004540678144 |
---|---|
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 |