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

ALICE Collaboration

doi:10.1016/j.cpc.2019.04.011

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

ALICE Collaboration

Physics Education

Variable Energy Cyclotron Centre India
University of California at Berkeley
Czech Academy of Sciences
Goethe University Frankfurt
Lund University
Panjab University
CERN
Polytechnic University of Turin
Aligarh Muslim University
Korea Institute of Science and Technology Information
Yale University
Alikhanov Institute for Theoretical and Experimental Physics
GSI Helmholtz Centre for Heavy Ion Research
Universidade Estadual de Campinas
Russian Research Centre Kurchatov Institute
National Institute for Nuclear Physics
Central China Normal University
Universidad Nacional Autónoma de México
COMSATS University Islamabad
Enrico Fermi Center
NASU - Bogolyubov Institute for Theoretical Physics
University of Bergen
St. Petersburg State University
Horia Hulubei National Institute of Physics and Nuclear Engineering
University of Birmingham
University of Münster
Heidelberg University
Creighton University
Ruder Boskovic Institute
University of Houston
Lawrence Berkeley National Laboratory
Nantes Université
University of Oslo

Research output: Contribution to journal › Journal article › peer-review

28 Scopus citations

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.

Original language	English
Pages (from-to)	25-48
Number of pages	24
Journal	Computer Physics Communications
Volume	242
DOIs	https://doi.org/10.1016/j.cpc.2019.04.011
State	Published - 2019.09

Keywords

FPGA
GPU

Quacquarelli Symonds(QS) Subject Topics

Computer Science & Information Systems
Physics & Astronomy

Access to Document

10.1016/j.cpc.2019.04.011

Cite this

@article{0ac1b6b8e35c46288e5a7504cf1c082e,

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.",

keywords = "FPGA, GPU",

author = "\{ALICE Collaboration\} and S. Acharya and Acosta, \{F. T.\} and D. Adamov{\'a} and Adhya, \{S. P.\} and A. Adler and J. Adolfsson and Aggarwal, \{M. M.\} and \{Aglieri Rinella\}, G. 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 I. Altsybeev and Anaam, \{M. N.\} and C. Andrei and D. Andreou and Andrews, \{H. A.\} and A. Andronic and M. Angeletti and V. Anguelov and C. Anson and T. Anti{\v c}i{\'c} and F. Antinori and P. Antonioli and R. Anwar and N. Apadula and L. Aphecetche and H. Appelsh{\"a}user and S. Arcelli and R. Arnaldi and M. Arratia and Arsene, \{I. C.\} and M. Arslandok and Kim, \{E. J.\}",

year = "2019",

month = sep,

doi = "10.1016/j.cpc.2019.04.011",

language = "English",

volume = "242",

pages = "25--48",

journal = "Computer Physics Communications",

issn = "0010-4655",

}

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 - Adamová, D.

AU - Adhya, S. P.

AU - Adler, A.

AU - Adolfsson, J.

AU - Aggarwal, M. M.

AU - Aglieri Rinella, G.

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, I.

AU - Anaam, M. N.

AU - Andrei, C.

AU - Andreou, D.

AU - Andrews, H. A.

AU - Andronic, A.

AU - Angeletti, M.

AU - Anguelov, V.

AU - Anson, C.

AU - Antičić, T.

AU - Antinori, F.

AU - Antonioli, P.

AU - Anwar, R.

AU - Apadula, N.

AU - Aphecetche, L.

AU - Appelshäuser, H.

AU - Arcelli, S.

AU - Arnaldi, R.

AU - Arratia, M.

AU - Arsene, I. C.

AU - Arslandok, M.

AU - Kim, E. J.

PY - 2019/9

Y1 - 2019/9

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.

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.

KW - FPGA

KW - GPU

UR - https://www.scopus.com/pages/publications/85065619163

U2 - 10.1016/j.cpc.2019.04.011

DO - 10.1016/j.cpc.2019.04.011

M3 - Journal article

AN - SCOPUS:85065619163

SN - 0010-4655

VL - 242

SP - 25

EP - 48

JO - Computer Physics Communications

JF - Computer Physics Communications

ER -

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

Abstract

Keywords

Quacquarelli Symonds(QS) Subject Topics

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