The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: HUST-23: 10th International Workshop on HPC User Support Tools
Authors: Ved Arora (Case Western Reserve University), Nayeli Gurrola (University of Texas Rio Grande Valley), and Amiya Maji and Guangzhen Jin (Purdue University)
Abstract: 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 cpu-hours). Initial insights gained from this visualization framework have helped our support staff identify several goals for improving the software stack and helping users proactively.
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