Document Type

Conference Proceeding

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Insights about applications and user environments can help HPC center staff make data-driven decisions about cluster operations. In this paper, we present a fast and responsive web-based visualization framework for analyzing HPC application usage. By leveraging XALT, a powerful tool for tracking application and library usage, we collected tens of millions of data points on a national supercomputer. The portable visualization framework created with Plotly Dash can be easily launched as a container and accessed from a web browser. The presented visualizations take a deep dive into the XALT data, analyzing application use, compiler usage, library usage, and even user-specific usage. Our analysis codes can distinguish between centrally installed applications and user-installed applications and can generate plots based on different metrics (no. of jobs or cpuhours). Initial insights gained from this visualization framework have helped our support staff identify several goals for improving the software stack and helping users proactively.


Student Publication. This work is licensed under a Creative Commons Attribution International 4.0 License.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Title

SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis





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