# Evaluation of HPC Storage Systems for HEP Analyses

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2024
- Speaker: Asal Mehrabi
- Year: 2024
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3014076)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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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## Lectures

1. [Evaluation of HPC Storage Systems for HEP Analyses](https://invisiblenetwork.ai/learn/cern/3014076/bce44f00b691), 6 min (CERN's player)