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PRODID:Linklings LLC
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TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20210402T160546Z
LOCATION:Track 11
DTSTART;TZID=America/New_York:20201111T144500
DTEND;TZID=America/New_York:20201111T151500
UID:submissions.supercomputing.org_SC20_sess206_ws_hust103@linklings.com
SUMMARY:HPC Software Tracking Strategies for a Diverse Workload
DESCRIPTION:Workshop\n\nHPC Software Tracking Strategies for a Diverse Wor
 kload\n\nNa, You, Baer, Oottikkal, Dockendorf...\n\nThis paper discusses a
 nd reviews various tools that the Extreme Supercomputer Facility (ESF) use
 s for tracking high-performance computing (HPC) software usage. Tracking s
 oftware usage is a key element in supporting a diverse user community. ESF
  maintains three data pools: batch job database, data from user executions
  and license server logs. We utilize various tools and databases to collec
 t, store and analyze software usage data. These include pbsacct, Spark, XA
 LT, LMOD, Splunk, License Log, Ganglia and Prometheus/Grafana. We discuss 
 the coverage and gaps for each pool and present some use cases.\n\nRegistr
 ation Category: Workshop Reg Pass
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