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Creating SquashFS Images to Support HPC and AI Datasets
Mullen 2026-10-14
Julie MullenAlbert ReutherLaToya Anderson
HPC users often download datasets on HPC systems for analysis and processing. When these datasets are comprised of hundreds of thousands (or more) of small files, accessing them in parallel can put a tremendous burden on the metadata servers of central parallel file systems. If the dataset is read-only, an effective solution is to compress the dataset into a SquashFS image. There are, however, a n
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Key Contributions
- HPC users often download datasets on HPC systems for analysis and processing.
- When these datasets are comprised of hundreds of thousands (or more) of small files, accessing them in parallel can put a tremendous burden on the metadata servers of central parallel file systems.
- If the dataset is read-only, an effective solution is to compress the dataset into a SquashFS image.
Research Themes
AIResearch