Conference presentations

  • ACAT 2024, A. Xu,  Real-time track reconstruction with FPGAs in the LHCb Scintillating Fibre Tracker beyond Run 3, Long Island NY (USA)
  • ACAT 2024, D. Passaro, LHC beam monitoring via real-time hit reconstruction in the LHCb VELO pixel detector, Long Island NY (USA)
  • IEEE NSS-MIC 2023, R. Fantechi, Real-time highly-parallel tracking processing with FPGA at LHCb, Vancouver (Canada).
  • CTD 2023, M.J. Morello, A real-time demonstrator of track reconstruction with FPGAs at LHCb, Toulouse (France).
  • CTD 2023, F. Terzuoli, FPGA-based architecture for a real-time track reconstruction in the LHCb Scintillating Fibre Tracker beyond Run 3, Toulouse (France).
  • TWEPP 2023, A. Contu, Real time data processing with FPGAs at LHCb, Geremeas (Italy).
  • CHEP 2023, G. Bassi, FPGA-based real-time cluster finding for the LHCb silicon pixel detector, Norfolk (USA).
  • CHEP 2023, F. Lazzari, Demonstration of track reconstruction with FPGAs on live data at LHCb, Norfolk (USA).
  • ACAT 2022, G. Tuci, Real-time tracking on FPGAs at LHCb, Bari (Italy).
  • TWEPP 2021, F. Lazzari, FPGA-based real-time data processing for accelerating reconstruction at LHCb, Virtual.
  • CHEP 2021, G. Bassi, A real-time FPGA-based cluster finding algorithm for LHCb silicon pixel detector, Virtual.
  • CTD 2020, F. Lazzari, An optical network for accelerating real-time tracking with FPGAs, Virtual.
  • LHCC 2020, F. Lazzari, Real-time computing solutions for LHCb based on FPGAs, CERN (Geneve).
  • CHEP 2019, G. Tuci, Reconstruction of track candidates at the LHC crossing rate using FPGAs, Adelaide (Australia).
  • VERTEX 2019, G. Punzi, Real-time reconstruction of pixel vertex detectors with FPGAs, Lafodia Sea Resort, Lopud Island (Croatia).
  • IEEE NSS-MIC 2019, G.Bassi, A 2D FPGA-based clustering algorithm for the LHCb silicon pixel detector running at 30 MHz, Manchester (UK).
  • ACAT 2019, M.J.M. Morello, Real-time reconstruction of long-lived particles at LHCb using FPGAs, Saas Fee (Switzerland).
  • ACAT 2019, F. Lazzari, Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA, Saas Fee (Switzerland)
  • Pisa Meeting 2018, F. Lazzari, Performance of a high-throughput tracking processor implemented on Stratix-V FPGA. La Bidola, Isola d'Elba.
  • IFAE 2017, G.Punzi, Detector-embedded tracking using the RETINA algorithm, Trieste.
  • LHCb-Italy 2017, F. Lazzari, Tracking online per la fase 2 di LHCb. Bari.
  • TWEPP 2017, R. Cenci, Development of a High-Throughput Tracking Processor on FPGA Boards, Santa Cruz (USA).
  • SIF 2017, F. Lazzari, A real-time tracking device for LHCb phase-II upgrade, Trento (Ita).
  • Beyond the LHCb Phase-1 Upgrade Workshop (Elba) 2017 , S. Stracka, Real-time reconstruction of dowstream tracks, Elba (Ita).
  • INFN Seminar, R. Cenci, First prototype of a real-time tracker based on "artificial retina" architecture, Pisa.
  • Connecting the dots 2016, R. Cenci, First prototype of an “Artificial Retina” Processor for Track Reconstruction,Vienna.
  • Mocast 2016, S. Stracka, First results of an "artificial retina" processor prototype, Thessaloniki Greece.
  • CHEP 2016 , S. Stracka, An artificial retina processor for track reconstruction at the full LHC crossing rate ,San Francisco (USA).
  • IEEE NSS-MIC 2016, M.J. Morello, Real-time track reconstruction during readout using an artificial retina architecture, Strasbourg (France).
  • DATA SCIENCE @LHC 2015 , G. Punzi and L. Ristori, 'The RETINA algorithm', CERN. Link here
  • XII Seminar on Software for Nuclear, Subnuclear and Applied Physis, G.Punzi, Real-time computing neural systems and future challenges in HEP - An introduction to the RETINA initiative, Alghero 2015.
  • Pisa Meeting 2015, R. Cenci, An “artificial retina” processor for track reconstruction at the full LHC crossing rate. Isola d'Elba (Italy).
  • TIPP 2014, N.Neri, First prototype of a silicon tracker using an artificial retina for fast track finding», Amsterdam .
  • TWEPP 2014, A. Abba, Progress Towards the First Prototype of a Silicon Tracker Using an 'Artificial Retina' for Fast Track Finding», Aix en Provence, France
  • NSS-MIC 2014, N, Neri, First Prototype of a Tracking System with Artificial Retina for Fast Track Finding», Seattle, USA
  • NSS-MIC 2014, A. Abba, Electronic Readout System for Retina-Based Cosmic-Ray Telescope, Seattle, USA.
  • TIP 2014, D. Tonelli, Artificial retina tracking at the LHC crossing rate. Amsterdam (Netherlands).
  • ICHEP 14, The artificial retina for track reconstruction at the LHC crossing rate. Valencia (Spain).
  • WIT 2014, D. Tonelli, The artificial retina processor for track reconstruction at the LHC crossing rate, Philadelphia (USA).
  • WIT 2014, P. Marino, Simulation and performance of an artificial retina for 40 MHz track reconstruction. Philadelphia (USA).
  • INSTR 2014, G. Punzi, A Specialized Processor for Track Reconstruction at the LHC Crossing Rate, Novosibirsky (Russia)

LHCb talks - Clustering

  • WP6 meeting, March 2020, G. Bassi et al., VELO clustering: lastest improvements. Link here.
  • WP6 meeting, March 2020, T. Pajero et al., Tracking performance of clustering on FPGAs. Link here.
  • 95th LHCb week, February 2020, G. Bassi et al., Update on VELO clustering on FPGAs. Link here.
  • WP6 meeting, February 2020, G. Bassi et al., News on Retina clustering. Link here.
  • WP6 meeting, January 2020, G. Bassi et al., On the progress of clustering integration in the PCIe40. Link here.
  • WP6 meeting, January 2020, F. Lazzari et al., Progress on software for clustering performance. Link here.
  • WP6 meeting, January 2020, G. Punzi et al., News and comments from Retina project. Link here.
  • 12th Computing Workshop, November 2019, G. Bassi et al., Status of VELO clustering on FPGA. Link here.
  • WP6 meeting, October 2019, G. Bassi et al., Progress report on clustering firmware implementation. Link here.
  • WP6 meeting, May 2019, F. Lazzari et al., Progress report on clustering firmware implementation. Link here.
  • WP6 meeting, April 2019, F. Lazzari et al., Integration of Clustering into VELO-PCIe40. Link here.
  • WP6 meeting, March 2019, F. Lazzari et al., VELO clustering: status and plans. Link here.
  • RTA general meeting, February 2019, G. Bassi et al., Implementation of VELO clustering on FPGA. Link here.
  • RTA general meeting, February 2019, F. Lazzari et al., Physics performance of VELO clustering on FPGA. Link here.

LHCb talks - EB integration

  • WP6 meeting, February 2020, R. Fantechi et al., EB integration. Link here.
  • WP6 meeting, February 2020, F. Lazzari et al., Vertical Slice tests. Link here.
  • WP6 meeting, January 2020, R. Fantechi et al., Integration of FPGAs in the VS: server-FPGA communication. Link here.
  • WP6 meeting, December 2019, F. Lazzari et al., Status of VST tests. Link here.
  • WP6 meeting, September 2019, R. Fantechi et al., Tests of compatibility of FPGA cards with EB servers, and data trasfers to memory. Link here.
  • WP6 meeting, August 2020, R. Fantechi et al., Updates on the ongoing work on FPGA acceleration. Link here.
  • RTA Accelerator review, June 2019, R. Fantechi et al., Retina project: FPGA based reconstruction for HLT1 - Implementation and integration. Link here.
  • WP6 meeting, May 2019, G. Bassi et al., Test of high-density optical network for RETINA implementation. Link here.
  • WP6 meeting, May 2019, F. Lazzari et al., Test of FPGA-to-FPGA connection via optical links. Link here.
  • WP6 meeting, March 2019, R. Fantechi et al., Online integration: status and plans. Link here.
  • 91st LHCb-week, March 2019, S.Stracka et al., Ongoing studies on daat transfer between accelerators. Link here.

LHCb talks - Retina

  • RTA-U2 session, March 2020, G.Punzi et al., About using specialised coprocessors/FPGAs. Link here.
  • WP6 meeting, November 2019, F. Lazzari et al.,Retina update on clustering integration and tracking R&D. Link here.
  • WP6 meeting, October 2019, G.Tuci et al., Update on VELO tracking efficiency with RETINA. Link here.
  • WP6 meeting, September 2019, F. Lazzari et al., Tests of Retina reconstruction in the presence of significant latency differences. Link here.
  • WP6 meeting, August 2019, G. Tuci et al., News and comments from Retina project. Link here.
  • RTA Accelerator review, June 2019, G. Punzi et al., Retina project: FPGA based reconstruction for HLT1 - Overview. Link here.
  • RTA Accelerator review, June 2019, G. Tuci et al., Retina project: FPGA based reconstruction for HLT1 - Physics performance. Link here.
  • 92nd LHCb-week, June 2019, G. Punzi, RETINA status and report from review. Link here.
  • WP6 meeting, May 2019, G.Tuci et al., Update on VELO reconstruction with FPGA. Link here.
  • Tuesday meeting, October 2019, G. Tuci et al., Operations: approval plot " Performance of VELO clustering and VELO pattern recognition on FPGA". Link here.
  • A&S week, May 2019, G. Tuci et al., VELO reconstruction on FPGAs. Link here.
  • WP6 meeting, March 2019, G. Tuci et al., VELO pattern recognition: status and plans. Link here.
  • WP6 meeting, March 2019, G.Punzi et al., Overview of the FPGA accelerator project (Retina). Link here.
  • 90th LHCb-week, December 2018, G. Tuci et al., FPGA accelerators status. Link here.
  • 11th Computing Workshop, September 2018, G. Tuci et al., Status of FPGA accelerator studies. Link here.

LHCb talks - Downstream tracker

  • 94th LHCb-week, December 2019, M.J. Morello et al., Downstream FPGA tracking. Link here.
  • RTA general meeting, March 2019, G. Punzi et al., RETINA for Upgrade I-b and II. Link here.
  • WP6 meeting, March 2019, M.J. Morello et al., T-station tracking: status and plans. Link here.
  • LHCb review of the Downstream tracker demonstrator, G. Punzi, R. Fantechi, N.Neufeld, et al, See talks and documents on indico page of the review .
  • Workshop on Beyond the LHCb Phase-I upgrade, May 2017, S. Stracka et al., Real-time reconstruction of dowstream tracks. Link here
  • Workshop of the Think Tank for Future Upgrades, October 2016, M.J.Morello et al., Downstream tracking with a 'Retina processor'. Link here
  • Workshop of the Think Tank for Future Upgrades, July 2016, G. Punzi et al., Downstream tracking with a 'Retina processor'. Link here