BigData and computing challenges in high energy and nuclear physics

A. Klimentov, M. Grigorieva, A. Kiryanov, A. Zarochentsev

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this contribution we discuss the various aspects of the computing resource needs experiments in High Energy and Nuclear Physics, in particular at the Large Hadron Collider. This will evolve in the future when moving from LHC to HL-LHC in ten years from now, when the already exascale levels of data we are processing could increase by a further order of magnitude. The distributed computing environment has been a great success and the inclusion of new super-computing facilities, cloud computing and volunteering computing for the future is a big challenge, which we are successfully mastering with a considerable contribution from many super-computing centres around the world, academic and commercial cloud providers. We also discuss R&D computing projects started recently in National Research Center 'Kurchatov Institute'

Original languageEnglish
Article numberC06044
JournalJournal of Instrumentation
Volume12
Issue number6
DOIs
Publication statusPublished - 29 Jun 2017

Fingerprint

Nuclear physics
High energy physics
Colliding beam accelerators
Distributed computer systems
nuclear physics
Cloud computing
High Energy
Physics
physics
Computing
Processing
resources
Experiments
inclusions
energy
Distributed Computing
Cloud Computing
Inclusion
Resources
Experiment

Keywords

  • Computing (architecture, farms, GRID for recording, storage, archiving, and distribution of data)
  • Data processing methods
  • Software architectures (event data models, frameworks and databases)

ASJC Scopus subject areas

  • Instrumentation
  • Mathematical Physics

Cite this

BigData and computing challenges in high energy and nuclear physics. / Klimentov, A.; Grigorieva, M.; Kiryanov, A.; Zarochentsev, A.

In: Journal of Instrumentation, Vol. 12, No. 6, C06044, 29.06.2017.

Research output: Contribution to journalArticle

Klimentov, A. ; Grigorieva, M. ; Kiryanov, A. ; Zarochentsev, A. / BigData and computing challenges in high energy and nuclear physics. In: Journal of Instrumentation. 2017 ; Vol. 12, No. 6.
@article{3927f18ecc2c4c88a6dd7b0e71a2afa1,
title = "BigData and computing challenges in high energy and nuclear physics",
abstract = "In this contribution we discuss the various aspects of the computing resource needs experiments in High Energy and Nuclear Physics, in particular at the Large Hadron Collider. This will evolve in the future when moving from LHC to HL-LHC in ten years from now, when the already exascale levels of data we are processing could increase by a further order of magnitude. The distributed computing environment has been a great success and the inclusion of new super-computing facilities, cloud computing and volunteering computing for the future is a big challenge, which we are successfully mastering with a considerable contribution from many super-computing centres around the world, academic and commercial cloud providers. We also discuss R&D computing projects started recently in National Research Center 'Kurchatov Institute'",
keywords = "Computing (architecture, farms, GRID for recording, storage, archiving, and distribution of data), Data processing methods, Software architectures (event data models, frameworks and databases)",
author = "A. Klimentov and M. Grigorieva and A. Kiryanov and A. Zarochentsev",
year = "2017",
month = "6",
day = "29",
doi = "10.1088/1748-0221/12/06/C06044",
language = "English",
volume = "12",
journal = "Journal of Instrumentation",
issn = "1748-0221",
publisher = "IOP Publishing Ltd.",
number = "6",

}

TY - JOUR

T1 - BigData and computing challenges in high energy and nuclear physics

AU - Klimentov, A.

AU - Grigorieva, M.

AU - Kiryanov, A.

AU - Zarochentsev, A.

PY - 2017/6/29

Y1 - 2017/6/29

N2 - In this contribution we discuss the various aspects of the computing resource needs experiments in High Energy and Nuclear Physics, in particular at the Large Hadron Collider. This will evolve in the future when moving from LHC to HL-LHC in ten years from now, when the already exascale levels of data we are processing could increase by a further order of magnitude. The distributed computing environment has been a great success and the inclusion of new super-computing facilities, cloud computing and volunteering computing for the future is a big challenge, which we are successfully mastering with a considerable contribution from many super-computing centres around the world, academic and commercial cloud providers. We also discuss R&D computing projects started recently in National Research Center 'Kurchatov Institute'

AB - In this contribution we discuss the various aspects of the computing resource needs experiments in High Energy and Nuclear Physics, in particular at the Large Hadron Collider. This will evolve in the future when moving from LHC to HL-LHC in ten years from now, when the already exascale levels of data we are processing could increase by a further order of magnitude. The distributed computing environment has been a great success and the inclusion of new super-computing facilities, cloud computing and volunteering computing for the future is a big challenge, which we are successfully mastering with a considerable contribution from many super-computing centres around the world, academic and commercial cloud providers. We also discuss R&D computing projects started recently in National Research Center 'Kurchatov Institute'

KW - Computing (architecture, farms, GRID for recording, storage, archiving, and distribution of data)

KW - Data processing methods

KW - Software architectures (event data models, frameworks and databases)

UR - http://www.scopus.com/inward/record.url?scp=85023172258&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85023172258&partnerID=8YFLogxK

U2 - 10.1088/1748-0221/12/06/C06044

DO - 10.1088/1748-0221/12/06/C06044

M3 - Article

VL - 12

JO - Journal of Instrumentation

JF - Journal of Instrumentation

SN - 1748-0221

IS - 6

M1 - C06044

ER -