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First Results of an “Artificial Retina” Processor Prototype

We report on the performance of a specialized processor capable of reconstructing charged particle tracks in a realistic LHC silicon tracker detector, at the same speed of the readout and with sub-microsecond latency. The processor is based on an innovative pattern-recognition algorithm, called “art...

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Detalles Bibliográficos
Autores principales: Cenci, Riccardo, Bedeschi, Franco, Marino, Pietro, Morello, Michael J, Ninci, Daniele, Piucci, Alessio, Punzi, Giovanni, Ristori, Luciano, Spinella, Franco, Stracka, Simone, Tonelli, Diego, Walsh, John
Lenguaje:eng
Publicado: 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201612700005
http://cds.cern.ch/record/2261964
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author Cenci, Riccardo
Bedeschi, Franco
Marino, Pietro
Morello, Michael J
Ninci, Daniele
Piucci, Alessio
Punzi, Giovanni
Ristori, Luciano
Spinella, Franco
Stracka, Simone
Tonelli, Diego
Walsh, John
author_facet Cenci, Riccardo
Bedeschi, Franco
Marino, Pietro
Morello, Michael J
Ninci, Daniele
Piucci, Alessio
Punzi, Giovanni
Ristori, Luciano
Spinella, Franco
Stracka, Simone
Tonelli, Diego
Walsh, John
author_sort Cenci, Riccardo
collection CERN
description We report on the performance of a specialized processor capable of reconstructing charged particle tracks in a realistic LHC silicon tracker detector, at the same speed of the readout and with sub-microsecond latency. The processor is based on an innovative pattern-recognition algorithm, called “artificial retina algorithm”, inspired from the vision system of mammals. A prototype of the processor has been designed, simulated, and implemented on Tel62 boards equipped with high-bandwidth Altera Stratix III FPGA devices. The prototype is the first step towards a real-time track reconstruction device aimed at processing complex events of high-luminosity LHC experiments at 40 MHz crossing rate.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
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spelling oai-inspirehep.net-15042932019-09-30T06:29:59Zdoi:10.1051/epjconf/201612700005http://cds.cern.ch/record/2261964engCenci, RiccardoBedeschi, FrancoMarino, PietroMorello, Michael JNinci, DanielePiucci, AlessioPunzi, GiovanniRistori, LucianoSpinella, FrancoStracka, SimoneTonelli, DiegoWalsh, JohnFirst Results of an “Artificial Retina” Processor PrototypeDetectors and Experimental TechniquesWe report on the performance of a specialized processor capable of reconstructing charged particle tracks in a realistic LHC silicon tracker detector, at the same speed of the readout and with sub-microsecond latency. The processor is based on an innovative pattern-recognition algorithm, called “artificial retina algorithm”, inspired from the vision system of mammals. A prototype of the processor has been designed, simulated, and implemented on Tel62 boards equipped with high-bandwidth Altera Stratix III FPGA devices. The prototype is the first step towards a real-time track reconstruction device aimed at processing complex events of high-luminosity LHC experiments at 40 MHz crossing rate.FERMILAB-CONF-16-623-CMSoai:inspirehep.net:15042932016
spellingShingle Detectors and Experimental Techniques
Cenci, Riccardo
Bedeschi, Franco
Marino, Pietro
Morello, Michael J
Ninci, Daniele
Piucci, Alessio
Punzi, Giovanni
Ristori, Luciano
Spinella, Franco
Stracka, Simone
Tonelli, Diego
Walsh, John
First Results of an “Artificial Retina” Processor Prototype
title First Results of an “Artificial Retina” Processor Prototype
title_full First Results of an “Artificial Retina” Processor Prototype
title_fullStr First Results of an “Artificial Retina” Processor Prototype
title_full_unstemmed First Results of an “Artificial Retina” Processor Prototype
title_short First Results of an “Artificial Retina” Processor Prototype
title_sort first results of an “artificial retina” processor prototype
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1051/epjconf/201612700005
http://cds.cern.ch/record/2261964
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