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The Retina Algorithm

<!--HTML-->Charge particle reconstruction is one of the most demanding computational tasks found in HEP, and it becomes increasingly important to perform it in real time. We envision that HEP would greatly benefit from achieving a long-term goal of making track reconstruction happen transparen...

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Detalles Bibliográficos
Autores principales: RISTORI, Luciano Frances, PUNZI, Giovanni
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2093524
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author RISTORI, Luciano Frances
PUNZI, Giovanni
author_facet RISTORI, Luciano Frances
PUNZI, Giovanni
author_sort RISTORI, Luciano Frances
collection CERN
description <!--HTML-->Charge particle reconstruction is one of the most demanding computational tasks found in HEP, and it becomes increasingly important to perform it in real time. We envision that HEP would greatly benefit from achieving a long-term goal of making track reconstruction happen transparently as part of the detector readout ("detector-embedded tracking"). We describe here a track-reconstruction approach based on a massively parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature ('RETINA algorithm'). It turns out that high-quality tracking in large HEP detectors is possible with very small latencies, when this algorithm is implemented in specialized processors, based on current state-of-the-art, high-speed/high-bandwidth digital devices.
id cern-2093524
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling cern-20935242022-11-02T22:33:48Zhttp://cds.cern.ch/record/2093524engRISTORI, Luciano FrancesPUNZI, GiovanniThe Retina AlgorithmData Science @ LHC 2015 WorkshopLPCC Workshops<!--HTML-->Charge particle reconstruction is one of the most demanding computational tasks found in HEP, and it becomes increasingly important to perform it in real time. We envision that HEP would greatly benefit from achieving a long-term goal of making track reconstruction happen transparently as part of the detector readout ("detector-embedded tracking"). We describe here a track-reconstruction approach based on a massively parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature ('RETINA algorithm'). It turns out that high-quality tracking in large HEP detectors is possible with very small latencies, when this algorithm is implemented in specialized processors, based on current state-of-the-art, high-speed/high-bandwidth digital devices.oai:cds.cern.ch:20935242015
spellingShingle LPCC Workshops
RISTORI, Luciano Frances
PUNZI, Giovanni
The Retina Algorithm
title The Retina Algorithm
title_full The Retina Algorithm
title_fullStr The Retina Algorithm
title_full_unstemmed The Retina Algorithm
title_short The Retina Algorithm
title_sort retina algorithm
topic LPCC Workshops
url http://cds.cern.ch/record/2093524
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AT punzigiovanni theretinaalgorithm
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AT punzigiovanni datasciencelhc2015workshop
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AT punzigiovanni retinaalgorithm