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DTSTART:20260909T180000Z
DTEND:20260909T190000Z
DTSTAMP:20260909T000000Z
SUMMARY:Research Computing on the Open Science Pool
DESCRIPTION:In this session you'll take an end-to-end research pipeline 
 from a laptop-scale idea to a distributed job running on the Open Science 
 Pool (OSPool). Working in Python\, you'll pull data from a public API\, 
 stage it for compute\, then submit a job to HTCondor on the OSPool access 
 point. We'll walk through every piece of the stack together no assumed 
 HTCondor experience.\n\nBy the end of this session participants will be 
 able to:\n\n\n	Write and submit an HTCondor submit file with the right 
 resource requests\, container image\, and file-transfer 
 directives\n	Package a Python analysis for a shared container environment 
 (installing dependencies into a portable directory instead of a 
 venv)\n	Interpret HTCondor job states (idle / running / held / completed) 
 and read the .log\, .out\, .err triplet to diagnose failures\n	Ship data up 
 to OSPool\, run the job\, and pull the results back\n	Understand OSPool 
 policies around access-point use\, background processes\, and job duration 
 categories\n\n\nPlease sign up in advance. We need your name a few days 
 before the session so we can request an OSPool account for you and have it 
 active by the workshop. Walk-ins can't be onboarded on the day. Seats are 
 limited\, so only register if you're committed to attending. If you sign up 
 and don't show\, someone on the waitlist misses out.\n\n \n\n
LOCATION:Common Area\, Remote
ORGANIZER;CN="Samah Alshrief\, Ph.D.":MAILTO:Samah.Alshrief@shu.edu
CATEGORIES:Data Services, Workshop
CONTACT;CN="Samah Alshrief\, Ph.D.":MAILTO:Samah.Alshrief@shu.edu
STATUS:CONFIRMED
UID:LibCal-17403462
URL:https://shu.libcal.com/event/17403462
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