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The EDRO board connected to the Associative Memory: a "Baby" FastTracKer processor for the ATLAS experiment
/ Annovi, A (INFN Frascati) ; Beretta, M (INFN Frascati) ; Villa, M (INFN Bologna / Universita` di Bologna) ; Bevacqua, V (INFN Pisa / Universita` di Pisa) ; Vitillo, R A (INFN Pisa / Universita` di Pisa) ; Giorgi, F (INFN Bologna) ; Magalotti, D (Universita` di Perugia) ; Roda, C (INFN Pisa / Universita` di Pisa) ; Cervigni, F (INFN Pisa / Universita` di Pisa) ; Giannetti, P (INFN Pisa / Universita` di Pisa) et al.
The FastTracKer (FTK) is a dedicated hardware system able to perform online fast and precise track reconstruction of the full events at the Atlas experiment, within an average latency of few dozens of microseconds. It is made of two pipelined processors: the Associative Memory (AM), finding low precision tracks called "roads", and the Track Fitter (TF), refining the track quality with high precision fits [...]
ATL-DAQ-SLIDE-2011-233.-
Geneva : CERN, 2011 - 14 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 2nd International Conference on Technology and Instrumentation in Particle Physics, Chicago, IL, USA, 9 - 14 Jun 2011
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2.
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The EDRO board connected to the Associative Memory: a “Baby” FastTracKer processor for the ATLAS experiment
/ Annovi, A ; Beretta, M ; Bevacqua, V ; Cervigni, F ; Crescioli, F ; Fabbri, L ; Giannetti, P ; Giorgi, F ; Magalotti, D ; Negri, A et al.
The FastTracKer (FTK) is a dedicated hardware system able to perform online fast and precise track reconstruction of full events in the Atlas experiment within an average latency of a few dozen microseconds. It consists of two pipelined processors: the Associative Memory (AM), which finds low precision tracks called “roads”, and the Track Fitter (TF), which refines the track quality with high precision fits [...]
ATL-DAQ-SLIDE-2011-349.-
Geneva : CERN, 2011
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 10th International Conference on Large Scale Applications and Radiation Hardness of Semiconductor Detectors, Florence, Italy, 6 - 8 Jul 2011
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4.
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Online tracking applications of the general purpose EDRO Board
/ Annovi, A (LNF Frascati, INFN (IT)) ; Matteo, B (LNF Frascati, INFN (IT)) ; Cervini, F (Copenhagen University (DK)) ; Crescioli, F (Pisa University and INFN (IT)) ; Fabbri, L (Bologna University and INFN (IT)) ; Franchini, M (Bologna University and INFN (IT)) ; Giannetti, P (Pisa University and INFN (IT)) ; Giannuzzi, F (Bologna University and INFN (IT)) ; Giorgi, F (Bologna University and INFN (IT)) ; Magalotti, D (Perugia University and INFN (IT)) et al.
The capability to perform extremely fast track reconstruction online is becoming more and more important for the LHC upgrade as well as the next generation of HEP experiments, where the expected instantaneous luminosities (in excess of 10^34 /cm2/s) and the very low signal/background ratio ask for fast and clean identification of the main characteristics of interesting events. The Slim5 R&D; project studied different aspects of fast and high-precision tracking in dedicated hardware: data-push silicon sensors, high bandwidth DAQ systems and Associative Memories (AM) for fast track identification. [...]
ATL-DAQ-SLIDE-2012-137.-
Geneva : CERN, 2012 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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5.
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Associative Memory design for the FastTrack processor (FTK) at ATLAS
/ Annovi, A (INFN Frascati) ; Beretta, M (INFN Frascati) ; Bossini, E (INFN Frascati ; INFN, Pisa) ; Crescioli, F (INFN, Pisa) ; Dell'Orso, M (INFN, Pisa) ; Giannetti, P (INFN, Pisa) ; Piendibene, M (INFN, Pisa) ; Sacco, I (Pisa, Scuola Normale Superiore) ; Sartori, L (INFN, Ferrara) ; Tripiccione, R (INFN, Ferrara)
We propose a new generation of VLSI processor for pattern recognition based on Associative Memory architecture, optimized for on-line track finding in high-energy physics experiments. [...]
ATL-DAQ-PROC-2010-013.
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2010. - 3 p.
Original Communication (restricted to ATLAS) - Full text
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The associative memory for the self-triggered SLIM5 silicon telescope
/ Batignani, G (U. Pisa (main) ; INFN, Pisa) ; Bettarini, S (U. Pisa (main) ; INFN, Pisa) ; Calderini, G (U. Pisa (main) ; INFN, Pisa) ; Cenci, R (U. Pisa (main) ; INFN, Pisa) ; Cervelli, A (U. Pisa (main) ; INFN, Pisa) ; Crescioli, F (U. Pisa (main) ; INFN, Pisa) ; Dell'Orso, M (U. Pisa (main) ; INFN, Pisa) ; Forti, F (U. Pisa (main) ; INFN, Pisa) ; Giannetti, P (INFN, Pisa) ; Giorgi, M A (U. Pisa (main) ; INFN, Pisa) et al.
Modern experiments search for extremely rare processes hidden in much larger background levels. As the experiment complexity, the accelerator backgrounds and luminosity increase we need increasingly exclusive selections to efficiently select the rare events inside the huge background. [...]
2009 - 5 p.
- Published in : 10.1109/NSSMIC.2008.4774945
In : 2008 IEEE Nuclear Science Symposium, Medical Imaging Conference and 16th Room Temperature Semiconductor Detector Workshop, Dresden, Germany, 19 - 25 Oct 2008, pp.2765-2769
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8.
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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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9.
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The Serial Link Processor for the Fast TracKer (FTK) processor at ATLAS
/ Biesuz, Nicolo Vladi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Citraro, Saverio (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Luciano, Pierluigi (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica) ; Magalotti, Daniel (INFN Laboratori Nazionali di Frascati) ; Rossi, Enrico (INFN Pisa and Universita' di Pisa, Dipartimento di Fisica)
The Associative Memory (AM) system of the Fast Tracker (FTK) processor has been designed to perform pattern matching using the hit information of the ATLAS experiment silicon tracker. The AM is the heart of FTK and is mainly based on the use of ASICs (AM chips) designed to execute pattern matching with a high degree of parallelism. [...]
ATL-DAQ-SLIDE-2015-245.-
Geneva : CERN, 2015 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 4th International Conference on Modern Circuits and Systems Technologies , Thessaloniki, Greece, 14 - 15 May 2015
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