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.

Authors

Institutions

Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701095
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

P. Vokáč, M. Svatos, J. Chudoba
EPJ Web of Conferences
Distributed and Parallel Computing Systems
article

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

P. Vokáč, M. Svatos, J. 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.

EPJ Web of ConferencesVol. 337
Czech Academy of Sciences (CZ), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Czech Technical University in Prague (CZ)
CERN, Forskningsrådet om Hälsa, Arbetsliv och Välfärd
Openalex Percentile: Top 68%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ATLAS usage of the Czech national HPC center: HyperQueue, cvmfsexec, and other news — P. Vokáč, M. Svatos, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS