Standard

Real-time data processing in the ALICE High Level Trigger at the LHC. / ALICE Collaboration ; Коваленко, Владимир Николаевич; Алцыбеев, Игорь Геннадьевич; Жеребчевский, Владимир Иосифович.

In: Computer Physics Communications, Vol. 242, 01.09.2019, p. 25-48.

Research output: Contribution to journal › Article › peer-review

Harvard

ALICE Collaboration, Коваленко, ВН, Алцыбеев, ИГ & Жеребчевский, ВИ 2019, 'Real-time data processing in the ALICE High Level Trigger at the LHC', Computer Physics Communications, vol. 242, pp. 25-48. https://doi.org/10.1016/j.cpc.2019.04.011

APA

ALICE Collaboration, Коваленко, В. Н., Алцыбеев, И. Г., & Жеребчевский, В. И. (2019). Real-time data processing in the ALICE High Level Trigger at the LHC. Computer Physics Communications, 242, 25-48. https://doi.org/10.1016/j.cpc.2019.04.011

Vancouver

ALICE Collaboration, Коваленко ВН, Алцыбеев ИГ, Жеребчевский ВИ. Real-time data processing in the ALICE High Level Trigger at the LHC. Computer Physics Communications. 2019 Sep 1;242:25-48. https://doi.org/10.1016/j.cpc.2019.04.011

Author

ALICE Collaboration ; Коваленко, Владимир Николаевич ; Алцыбеев, Игорь Геннадьевич ; Жеребчевский, Владимир Иосифович. / Real-time data processing in the ALICE High Level Trigger at the LHC. In: Computer Physics Communications. 2019 ; Vol. 242. pp. 25-48.

BibTeX

@article{9d7bbbf6ea6b440793d429683632ae5e,
title = "Real-time data processing in the ALICE High Level Trigger at the LHC",
abstract = "At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The detector signals induced by the produced particles are digitized leading to data rates that are in excess of 48 GB/s. The ALICE High Level Trigger (HLT) system pioneered the use of FPGA- and GPU-based algorithms to reconstruct charged-particle trajectories and reduce the data size in real time. The results of the reconstruction of the collision events, available online, are used for high level data quality and detector-performance monitoring and real-time time-dependent detector calibration. The online data compression techniques developed and used in the ALICE HLT have more than quadrupled the amount of data that can be stored for offline event processing. (C) 2019 Elsevier B.V. All rights reserved.",
keywords = "FPGA, GPU, TRACK",
author = "{ALICE Collaboration} and S. Acharya and Acosta, {F. T.} and D. Adamova and Adhya, {S. P.} and A. Adler and J. Adolfsson and Aggarwal, {M. M.} and Rinella, {G. Aglieri} and M. Agnello and Z. Ahammed and S. Ahmad and Ahn, {S. U.} and S. Aiola and A. Akindinov and M. Al-Turany and Alam, {S. N.} and Albuquerque, {D. S. D.} and D. Aleksandrov and B. Alessandro and Alfanda, {H. M.} and {Alfaro Molina}, R. and B. Ali and Y. Ali and A. Alici and A. Alkin and J. Alme and T. Alt and L. Altenkamper and Altsybeev and Anaam, {M. N.} and C. Andrei and D. Andreou and Andrews, {H. A.} and A. Andronic and M. Angeletti and Anguelov and C. Anson and T. Anticic and F. Antinori and P. Antonioli and R. Anwar and N. Apadula and L. Aphecetche and H. Appelshaeuser and S. Arcelli and A. Erokhin and G. Feofilov and T. Lazareva and V. Vechernin and A. Zarochentsev and Коваленко, {Владимир Николаевич} and Алцыбеев, {Игорь Геннадьевич} and Жеребчевский, {Владимир Иосифович}",
year = "2019",
month = sep,
day = "1",
doi = "10.1016/j.cpc.2019.04.011",
language = "Английский",
volume = "242",
pages = "25--48",
journal = "Computer Physics Communications",
issn = "0010-4655",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Real-time data processing in the ALICE High Level Trigger at the LHC

AU - ALICE Collaboration

AU - Acharya, S.

AU - Acosta, F. T.

AU - Adamova, D.

AU - Adhya, S. P.

AU - Adler, A.

AU - Adolfsson, J.

AU - Aggarwal, M. M.

AU - Rinella, G. Aglieri

AU - Agnello, M.

AU - Ahammed, Z.

AU - Ahmad, S.

AU - Ahn, S. U.

AU - Aiola, S.

AU - Akindinov, A.

AU - Al-Turany, M.

AU - Alam, S. N.

AU - Albuquerque, D. S. D.

AU - Aleksandrov, D.

AU - Alessandro, B.

AU - Alfanda, H. M.

AU - Alfaro Molina, R.

AU - Ali, B.

AU - Ali, Y.

AU - Alici, A.

AU - Alkin, A.

AU - Alme, J.

AU - Alt, T.

AU - Altenkamper, L.

AU - Altsybeev, null

AU - Anaam, M. N.

AU - Andrei, C.

AU - Andreou, D.

AU - Andrews, H. A.

AU - Andronic, A.

AU - Angeletti, M.

AU - Anguelov, null

AU - Anson, C.

AU - Anticic, T.

AU - Antinori, F.

AU - Antonioli, P.

AU - Anwar, R.

AU - Apadula, N.

AU - Aphecetche, L.

AU - Appelshaeuser, H.

AU - Arcelli, S.

AU - Erokhin, A.

AU - Feofilov, G.

AU - Lazareva, T.

AU - Vechernin, V.

AU - Zarochentsev, A.

AU - Коваленко, Владимир Николаевич

AU - Алцыбеев, Игорь Геннадьевич

AU - Жеребчевский, Владимир Иосифович

PY - 2019/9/1

Y1 - 2019/9/1

N2 - At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The detector signals induced by the produced particles are digitized leading to data rates that are in excess of 48 GB/s. The ALICE High Level Trigger (HLT) system pioneered the use of FPGA- and GPU-based algorithms to reconstruct charged-particle trajectories and reduce the data size in real time. The results of the reconstruction of the collision events, available online, are used for high level data quality and detector-performance monitoring and real-time time-dependent detector calibration. The online data compression techniques developed and used in the ALICE HLT have more than quadrupled the amount of data that can be stored for offline event processing. (C) 2019 Elsevier B.V. All rights reserved.

AB - At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The detector signals induced by the produced particles are digitized leading to data rates that are in excess of 48 GB/s. The ALICE High Level Trigger (HLT) system pioneered the use of FPGA- and GPU-based algorithms to reconstruct charged-particle trajectories and reduce the data size in real time. The results of the reconstruction of the collision events, available online, are used for high level data quality and detector-performance monitoring and real-time time-dependent detector calibration. The online data compression techniques developed and used in the ALICE HLT have more than quadrupled the amount of data that can be stored for offline event processing. (C) 2019 Elsevier B.V. All rights reserved.

KW - FPGA

KW - GPU

KW - TRACK

UR - http://www.scopus.com/inward/record.url?scp=85065619163&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/realtime-data-processing-alice-high-level-trigger-lhc

U2 - 10.1016/j.cpc.2019.04.011

DO - 10.1016/j.cpc.2019.04.011

M3 - статья

VL - 242

SP - 25

EP - 48

JO - Computer Physics Communications

JF - Computer Physics Communications

SN - 0010-4655

ER -

ID: 46028550