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Evaluation of HPC Storage Systems for HEP Analyses

Asal Mehrabi · CERN

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About

High-performance computing (HPC) storage systems are critical to the efficient execution of high-energy physics (HEP) analyses, which involve processing vast amounts of data generated by particle accelerators like the Large Hadron Collider (LHC). This project evaluates various HPC storage solutions in terms of their performance, scalability, and suitability for HEP data processing workflows. We examine traditional parallel file systems, emerging object storage technologies, and hybrid approaches to identify their strengths and limitations. Performance metrics such as I/O throughput, latency, and data integrity are assessed using real-world HEP analysis scenarios..

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The talk

  1. Evaluation of HPC Storage Systems for HEP Analyses 2024-08-13 · 6 min · CERN's player

Credits and licence

Institution
CERN
Department
CERN openlab Summer Student Programme 2024
Speaker
Asal Mehrabi
Year
2024
Language
English
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
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