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ATLAS computing and the GRID.

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ATLAS computing and the GRID. / Jones, R. W. L.
In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 502, No. 2-3, 21.04.2003, p. 372-375.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jones, RWL 2003, 'ATLAS computing and the GRID.', Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 502, no. 2-3, pp. 372-375. https://doi.org/10.1016/S0168-9002(03)00446-7

APA

Jones, R. W. L. (2003). ATLAS computing and the GRID. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 502(2-3), 372-375. https://doi.org/10.1016/S0168-9002(03)00446-7

Vancouver

Jones RWL. ATLAS computing and the GRID. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2003 Apr 21;502(2-3):372-375. doi: 10.1016/S0168-9002(03)00446-7

Author

Jones, R. W. L. / ATLAS computing and the GRID. In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2003 ; Vol. 502, No. 2-3. pp. 372-375.

Bibtex

@article{4ab32260310a42efad2746e3b6754587,
title = "ATLAS computing and the GRID.",
abstract = "At the most conservative estimates, ATLAS will produce over 1 Pb of data per year requiring 1-2M SpecInt95 of CPU to process and analyse, and to generate large Monte Carlo datasets. The collaboration is worldwide, and only Grids will allow all collaborators must have access to the full datasets. Atlas must develop an intercontinental distributed computing and data Grid with a user interface to shield the user from the Grid middleware and the distributed nature of the processing; we must develop automated production systems using the Grid tools; and we must provide tools that automatically distribute, install and verify the required experimental software and run-time environment to remote sites to avoid the problems of chaotic and multi-site management. Bookkeeping, replication and monitoring are also required. All of these topics are being addressed within the collaboration, with Grid tools being used for large-scale Data Challenges.",
author = "Jones, {R. W. L.}",
year = "2003",
month = apr,
day = "21",
doi = "10.1016/S0168-9002(03)00446-7",
language = "English",
volume = "502",
pages = "372--375",
journal = "Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment",
publisher = "ELSEVIER SCIENCE BV",
number = "2-3",

}

RIS

TY - JOUR

T1 - ATLAS computing and the GRID.

AU - Jones, R. W. L.

PY - 2003/4/21

Y1 - 2003/4/21

N2 - At the most conservative estimates, ATLAS will produce over 1 Pb of data per year requiring 1-2M SpecInt95 of CPU to process and analyse, and to generate large Monte Carlo datasets. The collaboration is worldwide, and only Grids will allow all collaborators must have access to the full datasets. Atlas must develop an intercontinental distributed computing and data Grid with a user interface to shield the user from the Grid middleware and the distributed nature of the processing; we must develop automated production systems using the Grid tools; and we must provide tools that automatically distribute, install and verify the required experimental software and run-time environment to remote sites to avoid the problems of chaotic and multi-site management. Bookkeeping, replication and monitoring are also required. All of these topics are being addressed within the collaboration, with Grid tools being used for large-scale Data Challenges.

AB - At the most conservative estimates, ATLAS will produce over 1 Pb of data per year requiring 1-2M SpecInt95 of CPU to process and analyse, and to generate large Monte Carlo datasets. The collaboration is worldwide, and only Grids will allow all collaborators must have access to the full datasets. Atlas must develop an intercontinental distributed computing and data Grid with a user interface to shield the user from the Grid middleware and the distributed nature of the processing; we must develop automated production systems using the Grid tools; and we must provide tools that automatically distribute, install and verify the required experimental software and run-time environment to remote sites to avoid the problems of chaotic and multi-site management. Bookkeeping, replication and monitoring are also required. All of these topics are being addressed within the collaboration, with Grid tools being used for large-scale Data Challenges.

U2 - 10.1016/S0168-9002(03)00446-7

DO - 10.1016/S0168-9002(03)00446-7

M3 - Journal article

VL - 502

SP - 372

EP - 375

JO - Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

JF - Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

IS - 2-3

ER -