CERN Accelerating science

Article
Report number arXiv:2201.08119
Title FPGA-based real-time data processing for accelerating reconstruction at LHCb
Author(s)

Lazzari, F. (INFN, Pisa ; Siena U.) ; Baldini, W. (INFN, Ferrara ; Ferrara U.) ; Bassi, G. (INFN, Pisa ; Unlisted, IT) ; Contu, A. (INFN, Cagliari) ; Dorigo, M. (INFN, Trieste) ; Fantechi, R. (INFN, Trieste ; Pisa U.) ; Giambastiani, L. (INFN, Padua ; Pisa U.) ; Morello, M.J. (INFN, Pisa ; Unlisted, IT) ; Punzi, G. (INFN, Pisa ; Pisa U.) ; Sticchi, M. (INFN, Pisa ; Pisa U.) ; Tuci, G. (Beijing, GUCAS)

Publication 2022-04-06
Imprint 2022-01-20
Number of pages 8
Note Proceedings on the Topical Workshop on Electronics for Particle Physics, TWEPP 2021, submitted to JINST
In: JINST 17, 04 (2022) pp.C04011
In: TWEPP 2021 Topical Workshop on Electronics for Particle Physics, Online, Online, 20 - 24 Sep 2021, pp.C04011
DOI 10.1088/1748-0221/17/04/C04011
Subject category hep-ex ; Particle Physics - Experiment ; physics.ins-det ; Detectors and Experimental Techniques
Accelerator/Facility, Experiment CERN LHC ; LHCb
Abstract 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 a realistic prototype for the reconstruction of pixel tracking detectors that will run on real data during Run-3.
Copyright/License preprint: (License: CC BY 4.0)



Corresponding record in: Inspire


 Záznam vytvorený 2022-02-05, zmenený 2023-01-31


Plný text:
Nahraj plný text
PDF