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Associative Memory Design for the Fast TracKer Processor (FTK)at ATLAS
/ Annovi, A (INFN Laboratori Nazionali di Frascati, Frascati, Italy) ; Amerio, S (FERMILAB, Batavia, USA) ; Beretta, M (INFN Laboratori Nazionali di Frascati, Frascati, Italy) ; Bossini, E (INFN Sezione di Pisa, Pisa, Italy) ; Crescioli, F (INFN Sezione di Pisa, Pisa, Italy) ; Dell'Orso, M (INFN Sezione di Pisa, Pisa, Italy) ; Giannetti, P (INFN Sezione di Pisa, Pisa, Italy) ; Hoff, J (FERMILAB, Batavia, USA) ; Liu, T (FERMILAB, Batavia, USA) ; Liberali, V (University of Milano, Milano, Italy) et al.
We describe a VLSI processor for pattern recognition based on Content Addressable Memory (CAM) architecture, optimized for on-line track finding in high-energy physics experiments. A large CAM bank stores all trajectories of interest and extracts the ones compatible with a given event. [...]
ATL-DAQ-SLIDE-2011-682.-
Geneva : CERN, 2011 - 10 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference, Valencia, Spain, 23 - 29 Oct 2011
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2.
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A specialized track processor for the LHCb upgrade
/ Abba, A (INFN Sezione di Milano, Universita' di Milano and Politecnico di Milano, Milano, Italy) ; Bedeschi, F (INFN Sezione di Pisa, Pisa, Italy) ; Citterio, M (INFN Sezione di Milano, Universita' di Milano, and Politecnico di Milano, Milano, Italy) ; Caponio, F (INFN Sezione di Milano, Universita' di Milano, and Politecnico di Milano, Milano, Italy) ; Cusimano, A (INFN Sezione di Milano, Universita' di Milano, and Politecnico di Milano, Milano, Italy) ; Geraci, A (INFN Sezione di Milano, Universita' di Milano, and Politecnico di Milano, Milano, Italy) ; Lionetto, F (INFN Sezione di Pisa and Universita' di Pisa, Pisa, Italy) ; Marino, P (INFN Sezione di Pisa and Scuola Normale Superiore, Pisa, Italy) ; Morello, M J (INFN Sezione di Pisa and Scuola Normale Superiore, Pisa, Italy) ; Neri, N (INFN Sezione di Milano, Universita' di Milano, and Politecnico di Milano, Milano, Italy) et al.
We propose a specialized processor dedicated to efficient real-time reconstruction of charged-particle tracks in the upgraded LHCb detector. The main purpose of this $track$ $processing$ $unit$ is to relieve the event-filter farm from the repetitive, mechanizable calculations associated with the pattern-recognition task, providing it with more time for higher-level trigger functions. [...]
LHCb-PUB-2014-026; CERN-LHCb-PUB-2014-026.-
Geneva : CERN, 2014 - 2 p.
Fulltext: PDF;
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3.
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Associative Memory design for the Fast TracK processor (FTK) at Atlas
/ Annovi, A (INFN Frascati) ; Beretta, M (INFN Frascati) ; Bossini, E (Università di Pisa and INFN Frascati) ; Crescioli, F (Università di Pisa and INFN, Pisa) ; Dell'Orso, M (Università di Pisa and INFN, Pisa) ; Giannetti, P (INFN, Pisa) ; Piendibene, M (Università di Pisa and INFN, Pisa) ; Sacco, I (Scuola Superiore Sant'Anna di Pisa) ; Sartori, L (Università di Ferrara and INFN Ferrara) ; Tripiccione, R (Università di Ferrara and INFN Ferrara)
We describe a VLSI processor for pattern recognition based on Content Addressable Memory (CAM) architecture, optimized for on-line track finding in high-energy physics experiments. A large CAM bank stores all trajectories of interest and extracts the ones compatible with a given event. [...]
ATL-DAQ-SLIDE-2010-097.-
Geneva : CERN, 2010 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 17th IEEE NPSS Real Time Conference, Lisbon, Portugal, 24 - 28 May 2010
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4.
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Associative Memory computing power and its simulation
/ Ancu, L S (Section de Physique, Université de Genève, Geneva, Switzerland) ; Annovi, A (INFN Frascati, Frascati, Roma, Italy) ; Britzger, D (Deutsches Elektronen-Synchrotron (DESY), Hamburg and Zeuthen, Germany) ; Giannetti, P (INFN Pisa, Pisa, Italy) ; Howarth, J W (Deutsches Elektronen-Synchrotron (DESY), Hamburg and Zeuthen, Germany) ; Luongo, C (INFN Pisa, Pisa, Italy) ; Pandini, C (Università di Milano, Milano, Italy) ; Schmitt, S (Deutsches Elektronen-Synchrotron (DESY), Hamburg and Zeuthen, Germany) ; Volpi, G (Università di Pisa, Pisa, Italy)
The associative memory (AM) system is a computing device made of hundreds of AM ASICs chips designed to perform “pattern matching” at very high speed. Since each AM chip stores a data base of 130000 pre-calculated patterns and large numbers of chips can be easily assembled together, it is possible to produce huge AM banks. [...]
ATL-DAQ-SLIDE-2014-217.-
Geneva : CERN, 2014 - 1 p.
Fulltext: ATL-DAQ-SLIDE-2014-217 - PDF; RT2014_talk_CarmelaLuongo - PDF; External link: Original Communication (restricted to ATLAS)
In : 19th IEEE-NPSS Real-Time conference 2014, Nara, Japan, 26 - 30 May 2014
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5.
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Next generation Associative Memory devices for the FTK tracking processor of the ATLAS experiment
/ Andreani, A (INFN, Milano) ; Annovi, A (Frascati) ; Beccherle, B (INFN, Pisa) ; Beretta, M (Frascati) ; Citterio, M (INFN, Milano) ; Crescioli, F (Paris U., VI-VII) ; Colombo, A (INFN, Milano) ; Giannetti, P (INFN, Pisa) ; Liberali, V (INFN, Milano) ; Shojaii, J (INFN, Milano) et al.
The AMchip is a VLSI device that implements the associative memory function, a special content addressable memory specifically designed for high energy physics applications and first used in the CDF experiment at Tevatron. [...]
ATL-DAQ-PROC-2013-043.
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2013. - 6 p.
Original Communication (restricted to ATLAS) - Full text
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7.
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The new variable resolution Associative Memory for Fast Track finding
/ Annovi, A (INFN Frascati) ; Crescioli, F (INFN, Pisa) ; Dell'Orso, M (INFN, Pisa) ; Giannetti, P (INFN, Pisa) ; Volpi, G (INFN Frascati) ; Stabile, A (INFN Milano) ; Liberali, V (University of Milano) ; Beretta, M (INFN Frascati) ; Sacco, I (University of Heidelberg)
We describe a VLSI processor for pattern recognition based on Content Addressable Memory (CAM) architecture, optimized for on-line track finding in high-energy physics experiments. We have developed this device using 65 nm technology combining a full custom CAM cell with standard-cell control logic. [...]
ATL-DAQ-SLIDE-2012-135.-
Geneva : CERN, 2012 - 26 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Workshop on Intelligent Trackers 2012, INFN Pisa, Pisa, Italy, 3 - 5 May 2012
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8.
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An 'artificial retina' processor for track reconstruction at the full LHC crossing rate
/ Abba, A (INFN, Milan ; Milan Polytechnic) ; Bedeschi, F (INFN, Pisa) ; Caponio, F (INFN, Milan ; Milan Polytechnic) ; Cenci, R (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Citterio, M (INFN, Milan) ; Cusimano, A (INFN, Milan ; Milan Polytechnic) ; Fu, J (INFN, Milan) ; Geraci, A (INFN, Milan ; Milan Polytechnic) ; Grizzuti, M (INFN, Milan ; Milan Polytechnic) ; Lusardi, N (INFN, Milan ; Milan Polytechnic) et al.
We present the latest results of an R&D; study for a specialized processor capable of reconstructing, in a silicon pixel detector, high-quality tracks from high-energy collision events at 40 MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of edges in mammals visual cortex. [...]
FERMILAB-PUB-16-184-CMS.-
2016 - 3 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 824 (2016) 260-262
Fulltext: PDF;
In : Frontier Detectors for Frontier Physics: 13th Pisa Meeting on Advanced Detectors, La Biodola, Isola D'elba, Italy, 24 - 30 May 2015, pp.260-262
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10.
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FTK AMchip05: an Associative Memory Chip Prototype for Track Reconstruction at Hadron Collider Experiments
/ Crescioli, Francesco (Laboratoire de Physique Nucleaire et de Hautes Energies (LPNHE), UPMC, Universite Paris-Diderot, CNRS/IN2P3) ; Annovi, Alberto (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Beretta, Matteo (INFN Laboratori Nazionali di Frascati) ; Beccherle, Roberto (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Giannetti, Paola (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Liberali, Valentino (INFN Milano and Universita' di Milano, Dipartimento di Fisica) ; Luciano, Pierluigi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Rossi, Enrico (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Stabile, Alberto (INFN Milano and Universita' di Milano, Dipartimento di Fisica) et al.
The ATLAS FTK track trigger project is an upcoming upgrade for the ATLAS trigger system currently under installation. A first reduced-coverage FTK is expected to take data by the end of 2015, while full detector coverage will be reached in 2016 and more processing power will be added in 2017-2018. [...]
ATL-DAQ-SLIDE-2015-460.-
Geneva : CERN, 2015
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : European Physical Society Conference on High Energy Physics 2015, Vienna, Austria, 22 - 29 Jul 2015
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