FPGA-based real-time data processing for accelerating reconstruction at LHCb. (1st April 2022)

• Record Type: Journal Article
• Authors: Lazzari, F.; Baldini, W.; Bassi, G.; Contu, A.; Dorigo, M.; Fantechi, R.; Giambastiani, L.; Morello, M.J.; Punzi, G.; Sticchi, M.; Tuci, G.
• Is Part Of: Journal of instrumentation. Volume 17:Number 4(2022)
• Publication Date: 2022-04-01
• Subjects: Pattern recognition, cluster finding, calibration and fitting methods -- Data processing methods -- Trigger concepts and systems (hardware and software); Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/17/04/C04011
• Languages: English
• ISSNs: 1748-0221

Abstract

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.