HEPiX Benchmarking Solution for WLCG Computing Resources Article Swipe
Domenico Giordano
,
M. Alef
,
Luca Atzori
,
Jean-Michel Barbet
,
Olga Datskova
,
Maria Girone
,
Christopher Hollowell
,
M. Javurkova
,
Riccardo Maganza
,
Miguel Fontes Medeiros
,
M. Michelotto
,
L. Rinaldi
,
A. Sciabà
,
R. Sobie
,
D.L. Southwick
,
T. Sullivan
,
A. Valassi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/s41781-021-00074-y
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1007/s41781-021-00074-y
The HEPiX Benchmarking Working Group has developed a framework to benchmark the performance of a computational server using the software applications of the High Energy Physics (HEP) community. This framework consists of two main components, named HEP-Workloads and HEPscore. HEP-Workloads is a collection of standalone production applications provided by a number of HEP experiments. HEPscore is designed to run HEP-Workloads and provide an overall measurement that is representative of the computing power of a system. HEPscore is able to measure the performance of systems with different processor architectures and accelerators. The framework is completed by the HEP Benchmark Suite that simplifies the process of executing HEPscore and other benchmarks such as HEP-SPEC06, SPEC CPU 2017, and DB12. This paper describes the motivation, the design choices, and the results achieved by the HEPiX Benchmarking Working group. A perspective on future plans is also presented.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s41781-021-00074-y
- https://link.springer.com/content/pdf/10.1007/s41781-021-00074-y.pdf
- OA Status
- hybrid
- Cited By
- 11
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200442254
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4200442254Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s41781-021-00074-yDigital Object Identifier
- Title
-
HEPiX Benchmarking Solution for WLCG Computing ResourcesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-12-01Full publication date if available
- Authors
-
Domenico Giordano, M. Alef, Luca Atzori, Jean-Michel Barbet, Olga Datskova, Maria Girone, Christopher Hollowell, M. Javurkova, Riccardo Maganza, Miguel Fontes Medeiros, M. Michelotto, L. Rinaldi, A. Sciabà, R. Sobie, D.L. Southwick, T. Sullivan, A. ValassiList of authors in order
- Landing page
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https://doi.org/10.1007/s41781-021-00074-yPublisher landing page
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https://link.springer.com/content/pdf/10.1007/s41781-021-00074-y.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s41781-021-00074-y.pdfDirect OA link when available
- Concepts
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Benchmarking, Benchmark (surveying), Suite, Computer science, Spec#, Operating system, Software, Process (computing), Programming language, Marketing, Business, Geography, Archaeology, Geodesy, HistoryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
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2025: 5, 2024: 4, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.measure | 80 |
| abstract_inverted_index.overall | 64 |
| abstract_inverted_index.process | 103 |
| abstract_inverted_index.provide | 62 |
| abstract_inverted_index.results | 128 |
| abstract_inverted_index.system. | 75 |
| abstract_inverted_index.systems | 84 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.HEPscore | 55, 76, 106 |
| abstract_inverted_index.achieved | 129 |
| abstract_inverted_index.choices, | 125 |
| abstract_inverted_index.consists | 31 |
| abstract_inverted_index.designed | 57 |
| abstract_inverted_index.provided | 48 |
| abstract_inverted_index.software | 20 |
| abstract_inverted_index.Benchmark | 98 |
| abstract_inverted_index.HEPscore. | 39 |
| abstract_inverted_index.benchmark | 11 |
| abstract_inverted_index.completed | 94 |
| abstract_inverted_index.computing | 71 |
| abstract_inverted_index.describes | 120 |
| abstract_inverted_index.developed | 7 |
| abstract_inverted_index.different | 86 |
| abstract_inverted_index.executing | 105 |
| abstract_inverted_index.framework | 9, 30, 92 |
| abstract_inverted_index.processor | 87 |
| abstract_inverted_index.benchmarks | 109 |
| abstract_inverted_index.collection | 43 |
| abstract_inverted_index.community. | 28 |
| abstract_inverted_index.presented. | 143 |
| abstract_inverted_index.production | 46 |
| abstract_inverted_index.simplifies | 101 |
| abstract_inverted_index.standalone | 45 |
| abstract_inverted_index.HEP-SPEC06, | 112 |
| abstract_inverted_index.components, | 35 |
| abstract_inverted_index.measurement | 65 |
| abstract_inverted_index.motivation, | 122 |
| abstract_inverted_index.performance | 13, 82 |
| abstract_inverted_index.perspective | 137 |
| abstract_inverted_index.Benchmarking | 3, 133 |
| abstract_inverted_index.applications | 21, 47 |
| abstract_inverted_index.experiments. | 54 |
| abstract_inverted_index.HEP-Workloads | 37, 40, 60 |
| abstract_inverted_index.accelerators. | 90 |
| abstract_inverted_index.architectures | 88 |
| abstract_inverted_index.computational | 16 |
| abstract_inverted_index.representative | 68 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5107337579 |
| countries_distinct_count | 6 |
| institutions_distinct_count | 17 |
| corresponding_institution_ids | https://openalex.org/I67311998 |
| citation_normalized_percentile.value | 0.77551348 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |