First performance measurements with the Analysis Grand Challenge Article Swipe
Oksana Shadura
,
A. Held
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2304.05214
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2304.05214
The IRIS-HEP Analysis Grand Challenge (AGC) is designed to be a realistic environment for investigating how analysis methods scale to the demands of the HL-LHC. The analysis task is based on publicly available Open Data and allows for comparing the usability and performance of different approaches and implementations. It includes all relevant workflow aspects from data delivery to statistical inference. The reference implementation for the AGC analysis task is heavily based on tools from the HEP Python ecosystem. It makes use of novel pieces of cyberinfrastructure and modern analysis facilities in order to address the data processing challenges of the HL-LHC. This contribution compares multiple different analysis implementations and studies their performance. Differences between the implementations include the use of multiple data delivery mechanisms and caching setups for the analysis facilities under investigation.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2304.05214
- https://arxiv.org/pdf/2304.05214
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4365211580
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4365211580Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2304.05214Digital Object Identifier
- Title
-
First performance measurements with the Analysis Grand ChallengeWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-04-11Full publication date if available
- Authors
-
Oksana Shadura, A. HeldList of authors in order
- Landing page
-
https://arxiv.org/abs/2304.05214Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2304.05214Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2304.05214Direct OA link when available
- Concepts
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Implementation, Computer science, Python (programming language), Workflow, Usability, Cyberinfrastructure, Large Hadron Collider, Task (project management), Data science, Data mining, Software engineering, Database, Operating system, Systems engineering, Engineering, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.implementations | 107, 115 |
| abstract_inverted_index.implementations. | 47 |
| abstract_inverted_index.cyberinfrastructure | 85 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile |