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EPN2EOS Data Transfer System / Şuiu, Alice Florenţa (CERN ; Bucharest, Polytechnic Inst.) ; Grigoraş, Costin (CERN) ; Weisz, Sergiu (CERN ; Bucharest, Polytechnic Inst.) ; Betev, Latchezar (CERN)
ALICE is one of the four large experiments at the CERN LHC designed to study the structure and origins of matter in collisions of heavy ions and protons at ultra-relativistic energies. To collect, store, and process the experimental data, ALICE uses hundreds of thousands of CPU cores and more than 400 PB of different types of storage resources.During the LHC Run 3, started in 2022, ALICE is running with an upgraded detector and an entirely new data acquisition system (DAQ), capable of collecting 100 times more events than the previous setup. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 01023 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01023

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(91)

Hybrid actor-critic algorithm for quantum reinforcement learning at CERN beam lines / Schenk, Michael (CERN) ; Combarro, Elías F. (U. Oviedo (main)) ; Grossi, Michele (CERN) ; Kain, Verena (CERN) ; Li, Kevin Shing Bruce (CERN) ; Popa, Mircea-Marian (Bucharest, Polytechnic Inst.) ; Vallecorsa, Sofia (CERN)
Free energy-based reinforcement learning (FERL) with clamped quantum Boltzmann machines (QBM) was shown to significantly improve the learning efficiency compared to classical Q-learning with the restriction, however, to discrete state-action space environments. In this paper, the FERL approach is extended to multi-dimensional continuous state-action space environments to open the doors for a broader range of real-world applications. [...]
arXiv:2209.11044.- 2024-02-21 - 17 p. - Published in : Quantum Sci. Technol. 9 (2024) 025012 Fulltext: Publication - PDF; 2209.11044 - PDF;

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(85)

ALICE O2 storage with EOS / Lamanna, Massimo (speaker) (CERN)
ALICE is upgrading the detector and the data processing to allow the collection, the processing and the analysis of 50kHz of PbPb collisions starting 2021. ALICE will run with no trigger selection and the data from the electronics front-ends will be collected in a continuous way and organised in 20-ms Time Frames. [...]
2020 - 980. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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(78)

Calibration and Conditions Database of the ALICE experiment in Run 3 / Dosaru, Daniel-Florin (Bucharest, Polytechnic Inst.) ; Grigoraş, Costin (CERN) ; Mucha, Rafał (AGH-UST, Cracow) ; Trzebuniak, Michał (AGH-UST, Cracow)
The ALICE experiment at CERN has undergone a substantial detector, readout and software upgrade for the LHC Run 3. A signature part of the upgrade is the triggerless detector readout, which necessitates a real time lossy data compression from 1.1 TB/s to 100 GB/s performed on a GPU/CPU cluster of 250 nodes. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 01011 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01011

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Operation of the CERN disk storage infrastructure during LHC Run-3 / Caffy, Cedric (CERN) ; Amadio, Guilherme (CERN) ; Rios, Maria Arsuaga (CERN) ; Reis, Manuel Batalha (CERN) ; Capitoni, Niccolo (CERN) ; Contescu, Cristian (CERN) ; Guenther, Jaroslav (CERN) ; Mascetti, Luca (CERN) ; Peters, Andreas (CERN) ; Sindrilaru, Elvin (CERN) et al.
The CERN IT Storage group operates multiple distributed storage systems to support all CERN data storage requirements. The storage and distribution of physics data generated by LHC and non-LHC experiments is one of the biggest challenges the group has to take on during LHC Run-3.EOS [1], the CERN distributed disk storage system is playing a key role in LHC data-taking. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 01041 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01041

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(64)

EOS at RO-03-UPB / Carabas, Mihai (speaker) (University POLITEHNICA of Bucharest)
Last year I have deployed EOS Citrine at RO-03-UPB for Alice experiment. I can share the steps and the issues I had. [...]
2019 - 554. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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(63)

Fast and Efficient Entropy Compression of ALICE Data using ANS Coding / Lettrich, Michael (CERN ; Munich, Tech. U.) /ALICE Collaboration
In LHC Run 3, the upgraded ALICE detector will record 50 kHz Pb-Pb collisions using continuous readout. The resulting stream of raw data to be inspected increases to ~ 1 TB/s a hundredfold increase over Run 2 must be processed with a set of lossy and lossless compression and data reduction techniques to decrease the data rate to storage to 90 GB/s without affecting the physics.This contribution focuses on lossless entropy coding for ALICE Run 3 data which is the final component in the compression stage. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 01001 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.01001

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Analysis of data integrity and storage quality of a distributed storage system / Negru, Adrian Eduard (Bucharest, Polytechnic Inst.) ; Betev, Latchezar (CERN) ; Carabaș, Mihai (Bucharest, Polytechnic Inst.) ; Grigoraș, Costin (CERN) ; Țăpuş, Nicolae (Bucharest, Polytechnic Inst.) ; Weisz, Sergiu (Bucharest, Polytechnic Inst.)
CERN uses the world’s largest scientific computing grid, WLCG, for distributed data storage and processing. Monitoring of the CPU and storage resources is an important and essential element to detect operational issues in its systems, for example in the storage elements, and to ensure their proper and efficient function. [...]
2021 - 11 p. - Published in : EPJ Web Conf. 251 (2021) 02035 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02035

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EOS in ALICE - present and futre roles / Betev, Latchezar (speaker) (CERN)
The EOS storage system has been steadily deployed on the Grid SE for ALICE over the past years. Presently, more than 1/2 of the ALICE total disk storage capacity is managed by EOS, with this fraction increasing every day. [...]
2020 - 1159. HEP Computing; EOS workshop External links: Talk details; Event details In : EOS workshop

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The ALICE Run 3 online/offline processing / Rohr, David (CERN) /ALICE Collaboration
The ALICE experiment has undergone a major upgrade for LHC Run 3 and will collect data at an interaction rate 50 times larger than before. The new computing scheme for Run 3 replaces the traditionally separate online and offline frameworks by a unified one, which is called O2. [...]
arXiv:2208.07412.- 2022-09-01 - 2 p. - Published in : Nucl. Instrum. Methods Phys. Res., A 1038 (2022) 166954 Fulltext: 2208.07412 - PDF; 1-s2.0-S0168900222003990-main - PDF;
In : Vienna Conference on Instrumentation (VCI 2022), Online, Austria, 21 - 25 Feb 2022, pp.166954

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