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Variable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgrade

The most recent prototype of the Associative Memory (AM) chip developed for the ATLAS Fast Tracker includes ternary logic cells that can store 0, 1, or "don't care" values. This allows an enormous flexibility, with the possibility to program the precision of the spatial coincidence fo...

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Detalles Bibliográficos
Autores principales: Annovi, A, Castegnaro, A, Giannetti, P, Luongo, C, Pandini, C, Volpi, G
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1602301
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author Annovi, A
Castegnaro, A
Giannetti, P
Luongo, C
Pandini, C
Volpi, G
author_facet Annovi, A
Castegnaro, A
Giannetti, P
Luongo, C
Pandini, C
Volpi, G
author_sort Annovi, A
collection CERN
description The most recent prototype of the Associative Memory (AM) chip developed for the ATLAS Fast Tracker includes ternary logic cells that can store 0, 1, or "don't care" values. This allows an enormous flexibility, with the possibility to program the precision of the spatial coincidence for each pattern and for each detector layer. We call this use of the associative memory: "variable resolution pattern recognition". A technique that can be applied to any coincidence based trigger. We describe an advanced technique to build the bank of patterns for the associative memory. Full resolution patterns are merged and split (profiting of variable resolution) to obtain the optimal set of patterns that fits in a given AM size while providing the best rejection of random coincidences without loss in efficiency.
id cern-1602301
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-16023012019-09-30T06:29:59Zhttp://cds.cern.ch/record/1602301engAnnovi, ACastegnaro, AGiannetti, PLuongo, CPandini, CVolpi, GVariable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgradeDetectors and Experimental TechniquesThe most recent prototype of the Associative Memory (AM) chip developed for the ATLAS Fast Tracker includes ternary logic cells that can store 0, 1, or "don't care" values. This allows an enormous flexibility, with the possibility to program the precision of the spatial coincidence for each pattern and for each detector layer. We call this use of the associative memory: "variable resolution pattern recognition". A technique that can be applied to any coincidence based trigger. We describe an advanced technique to build the bank of patterns for the associative memory. Full resolution patterns are merged and split (profiting of variable resolution) to obtain the optimal set of patterns that fits in a given AM size while providing the best rejection of random coincidences without loss in efficiency.ATL-DAQ-SLIDE-2013-656oai:cds.cern.ch:16023012013-09-22
spellingShingle Detectors and Experimental Techniques
Annovi, A
Castegnaro, A
Giannetti, P
Luongo, C
Pandini, C
Volpi, G
Variable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgrade
title Variable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgrade
title_full Variable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgrade
title_fullStr Variable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgrade
title_full_unstemmed Variable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgrade
title_short Variable resolution Associative Memory use and optimization for the Fast Tracker ATLAS upgrade
title_sort variable resolution associative memory use and optimization for the fast tracker atlas upgrade
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1602301
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AT castegnaroa variableresolutionassociativememoryuseandoptimizationforthefasttrackeratlasupgrade
AT giannettip variableresolutionassociativememoryuseandoptimizationforthefasttrackeratlasupgrade
AT luongoc variableresolutionassociativememoryuseandoptimizationforthefasttrackeratlasupgrade
AT pandinic variableresolutionassociativememoryuseandoptimizationforthefasttrackeratlasupgrade
AT volpig variableresolutionassociativememoryuseandoptimizationforthefasttrackeratlasupgrade