ATLAS usage of the Czech national HPC center: HyperQueue, cvmfsexec, and other news

The distributed computing of the ATLAS experiment at the Large Hadron Collider (LHC) utilizes computing resources provided by the Czech national High Performance Computing (HPC) center, IT4Innovations. It is done through ARC-CEs deployed at the Czech Tier2 site, praguelcg2. Over the years, this system has undergone continuous evolution, marked by recent enhancements aimed at improving resource utilization efficiency. One key enhancement involves the implementation of the HyperQueue meta-scheduler. It enables a division of whole-node jobs into several smaller, albeit longer, jobs, thereby enhancing CPU efficiency. Additionally, the integration of cvmfsexec enables access to the distributed CVMFS filesystem on compute nodes without requiring any special configurations, thereby substantially simplify software distribution and broadening the range of tasks eligible for execution on HPC. Another notable change was the migration of the batch system from PBSpro to Slurm.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701095/pdf
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

ATLAS usage of the Czech national HPC center: HyperQueue, cvmfsexec, and other news

Michal SVATOS, Petr Vokáč, Jiři Chudoba
Springer Link (Chiba Institute of Technology)
Distributed and Parallel Computing Systems
article

ATLAS usage of the Czech national HPC center: HyperQueue, cvmfsexec, and other news

Michal SVATOS, Petr Vokáč, Jiři Chudoba
article en

Abstract

The distributed computing of the ATLAS experiment at the Large Hadron Collider (LHC) utilizes computing resources provided by the Czech national High Performance Computing (HPC) center, IT4Innovations. It is done through ARC-CEs deployed at the Czech Tier2 site, praguelcg2. Over the years, this system has undergone continuous evolution, marked by recent enhancements aimed at improving resource utilization efficiency. One key enhancement involves the implementation of the HyperQueue meta-scheduler. It enables a division of whole-node jobs into several smaller, albeit longer, jobs, thereby enhancing CPU efficiency. Additionally, the integration of cvmfsexec enables access to the distributed CVMFS filesystem on compute nodes without requiring any special configurations, thereby substantially simplify software distribution and broadening the range of tasks eligible for execution on HPC. Another notable change was the migration of the batch system from PBSpro to Slurm.

Springer Link (Chiba Institute of Technology)
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Distributed and Parallel Computing Systems
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