Work

Automatic Metadata Capture and Processing for High-Performance Workflows

Year: 2025
Type: preprint
Abstract: Modern workflows run on increasingly heterogeneous computing architectures and with this heterogeneity comes additional complexity. We aim to apply the FAIR principles for research reproducibility by developing software to collect metadata annotations for workflows run on HPC systems. We experiment with two possible formats to uniformly store these metadata, and reorganize the collected metadata to be as easy to use as possible for researchers studying their workflow performance.
Language: English
Open Access status: green
OpenAlex ID: W4415334111
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