Extending the distributed computing infrastructure of the CMS experiment with HPC resources Article Swipe
Jennifer Adelman-McCarthy
,
T. Boccali
,
René Caspart
,
A. Delgado Peris
,
Max Fischer
,
J. Flix
,
M. Giffels
,
J. M. Hernández
,
D. Hufnagel
,
Eileen Kühn
,
T Madlener
,
A K Mohapatra
,
Hasan Berke Ozturk
,
A. Pérez-Calero Yzquierdo
,
D. Spiga
,
C Wissing
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2438/1/012039
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/2438/1/012039
Particle accelerators are an important tool to study the fundamental properties of elementary particles. Currently the highest energy accelerator is the LHC at CERN, in Geneva, Switzerland. Each of its four major detectors, such as the CMS detector, produces dozens of Petabytes of data per year to be analyzed by a large international collaboration. The processing is carried out on the Worldwide LHC Computing Grid, that spans over more than 170 compute centers around the world and is used by a number of particle physics experiments. Recently the LHC experiments were encouraged to make increasing use of HPC resources. While Grid resources are homogeneous with respect to the used Grid middleware, HPC installations can be very different in their setup. In order to integrate HPC resources into the highly automatized processing setups of the CMS experiment a number of challenges need to be addressed. For processing, access to primary data and metadata as well as access to the software is required. At Grid sites all this is achieved via a number of services that are provided by each center. However at HPC sites many of these capabilities cannot be easily provided and have to be enabled in the user space or enabled by other means. At HPC centers there are often restrictions regarding network access to remote services, which is again a severe limitation. The paper discusses a number of solutions and recent experiences by the CMS experiment to include HPC resources in processing campaigns.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2438/1/012039
- https://iopscience.iop.org/article/10.1088/1742-6596/2438/1/012039/pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4320916712
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4320916712Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/2438/1/012039Digital Object Identifier
- Title
-
Extending the distributed computing infrastructure of the CMS experiment with HPC resourcesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-01Full publication date if available
- Authors
-
Jennifer Adelman-McCarthy, T. Boccali, René Caspart, A. Delgado Peris, Max Fischer, J. Flix, M. Giffels, J. M. Hernández, D. Hufnagel, Eileen Kühn, T Madlener, A K Mohapatra, Hasan Berke Ozturk, A. Pérez-Calero Yzquierdo, D. Spiga, C WissingList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/2438/1/012039Publisher landing page
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https://iopscience.iop.org/article/10.1088/1742-6596/2438/1/012039/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1742-6596/2438/1/012039/pdfDirect OA link when available
- Concepts
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Petabyte, Large Hadron Collider, Grid computing, Grid, Computer science, Metadata, Supercomputer, Middleware (distributed applications), Homogeneous, Software, Operating system, Distributed computing, Particle physics, Physics, Big data, Geometry, Mathematics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
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11Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.resources. | 99 |
| abstract_inverted_index.accelerator | 19 |
| abstract_inverted_index.automatized | 130 |
| abstract_inverted_index.experiences | 234 |
| abstract_inverted_index.experiments | 90 |
| abstract_inverted_index.fundamental | 10 |
| abstract_inverted_index.homogeneous | 104 |
| abstract_inverted_index.limitation. | 224 |
| abstract_inverted_index.middleware, | 111 |
| abstract_inverted_index.processing, | 146 |
| abstract_inverted_index.Switzerland. | 27 |
| abstract_inverted_index.accelerators | 2 |
| abstract_inverted_index.capabilities | 187 |
| abstract_inverted_index.experiments. | 86 |
| abstract_inverted_index.restrictions | 212 |
| abstract_inverted_index.installations | 113 |
| abstract_inverted_index.international | 53 |
| abstract_inverted_index.collaboration. | 54 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5067642922, https://openalex.org/A5016464395 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I4210163778 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6000000238418579 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.74187444 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |