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High throughput data acquisition with InfiniBand on x86 low-power architectures for the LHCb upgrade / Cesini, D (INFN, Italy) ; Ferraro, A (INFN, Italy) ; Falabella, A (INFN, Italy) ; Giacomini, F (INFN, Italy) ; Manzali, M (Ferrara U.) ; Marconi, U (INFN, Italy) ; Neufeld, N (CERN) ; Valat, S (CERN) ; Voneki, B (CERN)
The LHCb Collaboration is preparing a major upgrade of the detector and the Data Acquisition (DAQ) to be installed during the LHC-LS2. The new Event Builder computing farm for the DAQ requires about 500 nodes, and have to be capable of transporting order of 32 Tbps. [...]
2016 - 3 p. - Published in : 10.1109/RTC.2016.7543136
In : 20th IEEE-NPSS Real Time Conference, Padua, Italy, 5 - 10 Jun 2016

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(91)

Protocol-Independent Event Building Evaluator for the LHCb DAQ System / Cámpora Pérez, Daniel Hugo (CERN) ; Schwemmer, Rainer (CERN) ; Neufeld, Niko (CERN)
The Data Acquisition (DAQ) system of LHCb is a complex real-time system. It will be upgraded to provide LHCb with an all-software, trigger-free readout starting from 2020. [...]
2015 - 5 p. - Published in : IEEE Trans. Nucl. Sci. 62 (2015) 1110-1114
- Published in : (2014)
In : 19th IEEE-NPSS Real-Time conference 2014, Nara, Japan, 26 - 30 May 2014, pp.1110-1114

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(76)

Large-scale DAQ tests for the LHCb upgrade / Falabella, Antonio (INFN, CNAF) ; Manzali, Matteo (Ferrara U.) ; Giacomini, Francesco (INFN, CNAF) ; Marconi, Umberto (INFN, Bologna) ; Voneki, Balasz (CERN) ; Neufeld, Niko (CERN) ; Valat, Sebastian (CERN)
The Data Acquisition (DAQ) of the LHCb experiment[1] will be upgraded in 2020 to a high-bandwidth trigger-less readout system. In the new DAQ event fragments will be forwarded to the to the Event Builder (EB) computing farm at 40 MHz. [...]
2016 - 2 p. - Published in : 10.1109/RTC.2016.7543156
In : 20th IEEE-NPSS Real Time Conference, Padua, Italy, 5 - 10 Jun 2016

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(47)

Experience with low-power x86 processors (Atom) for HEP usage. An initial analysis of the Intel® dual core Atom™ N330 processor / Balazs, G (CERN) ; Jarp, S (CERN) ; Nowak, A (CERN)
In this paper we compare a system based on an Intel Atom N330 low-power processor to a modern Intel Xeon® dual-socket server using CERN IT’s standard criteria for comparing price-performance and performance per watt. [...]
CERN-IT-Note-2009-004. - 2009. - 10 p.
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(43)

Simulation analysis of a switched event building architecture using token by-pass / Harangozo, G
<P>At High Energy Physics experiments, extensive parallelism allowsscalable, high-bandwidth data acquisition systems. [...]
CERN-ALI-97-08 ; CERN-ALICE-PUB-97-08. - 1997.
Fulltext - Fulltext

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(40)

The InfiniBand based Event Builder implementation for the LHCb upgrade / Falabella, A (INFN, CNAF) ; Giacomini, F (INFN, CNAF) ; Manzali, M (INFN, CNAF ; Ferrara U.) ; Marconi, U (INFN, Bologna) ; Neufeld, N (CERN) ; Valat, S (CERN) ; Voneki, B (CERN)
The LHCb experiment will undergo a major upgrade during the second long shutdown (2019 - 2020). The upgrade will concern both the detector and the Data Acquisition system, which are to be rebuilt in order to optimally exploit the foreseen higher event rate. [...]
2017 - 7 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 032036 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.032036

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(35)

The DAQ needle in the big-data haystack / Meschi, E (CERN)
In the last three decades, HEP experiments have faced the challenge of manipulating larger and larger masses of data from increasingly complex, heterogeneous detectors with millions and then tens of millions of electronic channels. LHC experiments abandoned the monolithic architectures of the nineties in favor of a distributed approach, leveraging the appearence of high speed switched networks developed for digital telecommunication and the internet, and the corresponding increase of memory bandwidth available in off-the-shelf consumer equipment. [...]
2015 - 8 p. - Published in : J. Phys.: Conf. Ser. 664 (2015) 082032 IOP Open Access article: The DAQ needle in the big-data haystack - PDF; pdf - PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.082032

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(30)

Two nondeterministic event building methods derived from the barrel shifter / Harangozo, G
<P>At High Energy Physics experiments, extensive parallelism allowsscalable, high-bandwidth data acquisition systems. [...]
CERN-ALI-97-07 ; CERN-ALICE-PUB-97-07. - 1997.
Fulltext - Fulltext

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(28)

Low-power optimisation of a pixel array architecture for next generation High Energy Physics detectors / Marconi, Sara (U. Perugia (main) ; INFN, Italy) ; Hemperek, Tomasz (Bonn U.) ; Placidi, Pisana (U. Perugia (main) ; INFN, Italy) ; Scorzoni, Andrea (U. Perugia (main) ; INFN, Italy) ; Conti, Elia (CERN) ; Christiansen, Jorgen (CERN)
A large scale pixel readout chip is being designed by the RD53 Collaboration, in order to prove the suitability of 65 nm technology for the extreme operating conditions foreseen for the High Luminosity upgrades of the ATLAS and CMS experiments at CERN. The use of advanced digital design and simulation tools is essential to guide architectural and implementation choices for the design and optimisation of pixel chips which will be powered from a serial powering scheme. [...]
2017 - 4 p. - Published in : 10.1109/PRIME.2017.7974142
In : 13th Conference on PhD Research in Microelectronics and Electronics, Taormina, Italy, 12 - 15 Jun 2017, pp.201-204

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(28)

Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors / Fernández, Plácido (CERN) ; del Rio Astorga, David (Carlos III U., Madrid) ; Dolz, Manuel F (Carlos III U., Madrid) ; Fernández, Javier (Carlos III U., Madrid) ; Awile, Omar (CERN) ; García, J Daniel (Carlos III U., Madrid)
Real time data processing is an important component of particle physics experiments with large computing resource requirements. As the Large Hadron Collider (LHC) at CERN is preparing for its next upgrade the LHCb experiment is upgrading its detector for a 30x increase in data throughput. [...]
2018 - 10 p. - Published in : 10.1109/PDP2018.2018.00121
In : 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, Cambridge, United Kingdom, 21 - 23 Mar 2018, pp.741-750

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