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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055412Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T154500
DTEND;TZID=America/Chicago:20211114T155000
UID:submissions.supercomputing.org_SC21_sess328_ws_whpc104@linklings.com
SUMMARY:Early Career Lighting Talks - Processing NERSC Python user data on
  GPUs and sharing the results in a public dashboard
DESCRIPTION:Workshop\n\nEarly Career Lighting Talks - Processing NERSC Pyt
 hon user data on GPUs and sharing the results in a public dashboard\n\nSte
 phey, Thomas\n\nAt NERSC, we collect data about how our Python users are u
 sing our systems. Within the past year, we have upgraded our data collecti
 on to capture data from all of our Python users, not just those who were u
 sing the NERSC-provided Python modules, and performed new, more sophistica
 ted analysis to gain better insight into how people use Python at NERSC. W
 e published these results in R. Thomas, L. Stephey, B. Cook, A. Greiner. "
 Monitoring Scientific Python Usage on a Supercomputer." Proceedings of the
  20th Python in Science Conf. (Scipy) in July 2021 (https://doi.org/10.250
 80/majora-1b6fd038-010). In this lightning talk I'll focus on the workflow
  we used for analyzing the data on GPUs, including Jupyter, Papermill, Voi
 la, and the NVIDIA RAPIDS ecosystem (specifically with cuDF and CuPy). I'l
 l discuss the main findings, including top Python libraries used, breakdow
 n of Python jobsize, correlation of Python libraries, and share our public
  web-based dashboard of our results. I'll talk about the challenges we enc
 ountered with this workflow and our plans for future work.\n\nTag: Online 
 Only, Career Development, Diversity Equity Inclusion (DEI), Education and 
 Training and Outreach, HPC Community Collaboration\n\nRegistration Categor
 y: Workshop Reg Pass
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