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DTSTART:19700308T020000
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DTSTAMP:20260202T201300Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251121T080000
DTEND;TZID=America/Chicago:20251121T120000
UID:submissions.supercomputing.org_SC25_sess620_post231@linklings.com
SUMMARY:Evaluating the Usage of Python Libraries on a Production Supercomp
 uter
DESCRIPTION:Thomas Papka (Loyola University Chicago, Argonne National Labo
 ratory (ANL))\n\nAdvances in artificial intelligence (AI) and machine lear
 ning (ML) are reshaping scientific computing and influencing programming p
 ractices on high performance computing (HPC) systems. We analyze Python li
 brary usage on the Polaris supercomputer to understand adoption patterns i
 n modeling, simulation, data analysis, and ML. Using XALT, a runtime monit
 oring tool, and PySnooper, a lightweight tracer, we correlate library impo
 rts with job scheduler data and scientific domains. Results are presented 
 through visualizations and an interactive dashboard, enabling scientists t
 o track usage trends, identify performance impacts from non-optimized envi
 ronments, and inform improvements to Argonne’s default Python stack. This 
 work provides actionable guidance for software provisioning, user support,
  and infrastructure planning in the era of AI-driven science.\n\nTag: Rese
 arch & ACM SRC Posters\n\nRegistration Category: Technical Program Reg Pas
 s\n\nSession Chairs: Kento Sato (RIKEN Center for Computational Science (R
 -CCS)); Anja Gerbes (Georg-August-Universität Göttingen); and Chris Schlip
 alius (Pawsey Supercomputing Research Centre; Commonwealth Scientific and 
 Industrial Research Organisation (CSIRO), Australia)\n\n
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