About
Modern large-scale sciences have become increasingly complex and face unprecedented data & compute challenges. The number of data-intensive instruments generating substantial volumes of data is growing and their accompanying internal and external workflows are becoming more complex every day. Their storage and computing resources are usually heterogeneous and are distributed at numerous geographical locations belonging to different administrative domains and organisations. In this presentation, we will try to give an insight how we solved these problems in High Energy Physics: from data taking, distributed processing, infrastructure, and user analyses, with specific examples from the ATLAS Experiment..
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The talk
Credits and licence
- Institution
- CERN
- Department
- HEP Computing
- Speaker
- Mario Lassnig
- Year
- 2024
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed