arXiv · 2506.15537
Automatic Metadata Capture and Processing for High-Performance Workflows
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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Polina Shpilker, Line Pouchard. 2025-06-18. Automatic Metadata Capture and Processing for High-Performance Workflows. https://arxiv.org/abs/2506.15537
Cite the original work for its findings. Save a collection to share your selection of sources.