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DTSTAMP:20260924T172455Z
LOCATION:B312-B313A
DTSTART;TZID=America/New_York:20241122T103000
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UID:submissions.supercomputing.org_SC24_sess770_ws_hpcsysp107@linklings.co
 m
SUMMARY:Benchmarking and Continuous Performance Monitoring of HPC Resource
 s using the XDMoD Application Kernel Module
DESCRIPTION:Nikolay A. Simakov (State University of New York at Buffalo, C
 enter for Computational Research)\n\nHigh-performance computing (HPC) reso
 urces are critical for scientific and engineering computations, but they c
 ome with significant costs, making optimal utilization essential. While su
 bstantial effort is often invested in performance optimization during the 
 initial deployment, regular performance monitoring tends to diminish durin
 g the production phase, potentially leading to undetected degradation in s
 oftware and hardware performance. The XDMoD Application Kernel Performance
  Monitoring Module addresses this by automatically executing a suite of ap
 plications and benchmarks on a daily basis to identify performance degrada
 tion proactively. This module is designed to generate meaningful performan
 ce data while keeping short wall times to minimize impact on users. It als
 o includes a performance degradation detection algorithm that can trigger 
 regular or problem-specific email notifications. Operational since 2011, t
 his module has successfully monitored the performance of XSEDE and ACCESS 
 resources. This presentation provides an overview of the module’s capabili
 ties and showcases practical use cases illustrating its effectiveness.\n\n
 Tag: HPC Infrastructure, State of the Practice, System Administration\n\nR
 egistration Category: Workshop Reg Pass\n\nSession Chairs: Jared Baker (Na
 tional Center for Atmospheric Research (NCAR)), John Blaas (Lambda), and E
 lizabett Hillery (Purdue University)\n\n
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