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DTSTART;TZID=America/Denver:20231112T105000
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UID:submissions.supercomputing.org_SC23_sess414_ws_hust113@linklings.com
SUMMARY:A Fast and Responsive Web-Based Framework for Visualizing HPC Appl
 ication Usage
DESCRIPTION:Ved Arora (Case Western Reserve University), Nayeli Gurrola (U
 niversity of Texas Rio Grande Valley), and Amiya Maji and Guangzhen Jin (P
 urdue University)\n\nInsights 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 power
 ful tool for tracking application and library usage, we collected tens of 
 millions of data points on a national supercomputer. The portable visualiz
 ation framework created with Plotly Dash can be easily launched as a conta
 iner and accessed from a web browser. The presented visualizations take a 
 deep dive into the XALT data, analyzing application use, compiler usage, l
 ibrary usage, and even user-specific usage. Our analysis codes can disting
 uish between centrally installed applications and user-installed applicati
 ons and can generate plots based on different metrics (no of jobs or cpu-h
 ours). Initial insights gained from this visualization framework have help
 ed our support staff identify several goals for improving the software sta
 ck and helping users proactively.\n\nTag: Programming Frameworks and Syste
 m Software\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: 
 Chris Bording (University of Western Australia); Elsa J. Gonsiorowski (Law
 rence Livermore National Laboratory (LLNL)); Lev Gorenstein (Globus, Unive
 rsity of Chicago); and Karen Tomko (Ohio Supercomputer Center)\n\n
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