CVMFS: Pushing performance on highly parallel, manycore clients

The CernVM File System (CVMFS) is an efficient distributed, readonly file system that streams software and data on demand. Its main focus is to distribute experiment software and conditions data to the world-wide LHC computing infrastructure. Recent hardware trends have increased the usage of CVMFS in highly parallel environments. Nodes with more than 64 physical cores running concurrent workloads are common. These highly parallel, manycore workloads have exposed specific bugs and limitations of CVMFS in such environments. This contribution reports on the developments that address these issues, and presents new performance benchmarks on machines with 256 (virtual) cores.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701254
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

CVMFS: Pushing performance on highly parallel, manycore clients

Jakob Blomer, M J Harvey, Laura Promberger, Valentin Völkl et al.
EPJ Web of Conferences
Distributed and Parallel Computing Systems
article

CVMFS: Pushing performance on highly parallel, manycore clients

Jakob Blomer, M J Harvey, Laura Promberger, Valentin Völkl, Reza Naghibi
article en

Abstract

The CernVM File System (CVMFS) is an efficient distributed, readonly file system that streams software and data on demand. Its main focus is to distribute experiment software and conditions data to the world-wide LHC computing infrastructure. Recent hardware trends have increased the usage of CVMFS in highly parallel environments. Nodes with more than 64 physical cores running concurrent workloads are common. These highly parallel, manycore workloads have exposed specific bugs and limitations of CVMFS in such environments. This contribution reports on the developments that address these issues, and presents new performance benchmarks on machines with 256 (virtual) cores.

EPJ Web of ConferencesVol. 337
Daiseung Medics (South Korea) (KR), European Organization for Nuclear Research (CH)
Openalex Percentile: Top 67%
Distributed and Parallel Computing Systems
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CVMFS: Pushing performance on highly parallel, manycore clients — Jakob Blomer, M J Harvey, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS