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DTSTART;TZID=America/New_York:20241118T153000
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UID:submissions.supercomputing.org_SC24_sess752_ws_bphpcte112@linklings.co
 m
SUMMARY:HPC Andragogy: Automating Batch Scheduler Feedback
DESCRIPTION:Kyriakos Tsoukalas (Colgate University)\n\nThis paper proposes
  a monitoring system that emails feedback to users about submitted jobs an
 d has the capability to stop and resubmit jobs to a batch scheduler. The p
 roposed system has been implemented for a small supercomputing environment
  with a mix of high-performance and high-throughput computing jobs. User f
 eedback includes alerts for over- and under-utilization of CPU and physica
 l memory. \n\nThis paper also discusses how predefined system thresholds w
 ere chosen, and proposes three algorithms: one algorithm for the proposed 
 monitoring system and two algorithms for the prediction of CPU and physica
 l memory utilization. The latter algorithms are based on users' input of t
 he identification string (job ID) of a similar job that should have finish
 ed execution without errors. Lastly, a git repository is shared to make th
 e code accessible for review.\n\nTag: Distributed Computing, Education, Em
 erging Technologies\n\nRegistration Category: Workshop Reg Pass\n\nSession
  Chairs: Nia Alexandrov (Hartree Centre); Scott Lathrop (University of Ill
 inois Urbana-Champaign); Julie Mullen (Massachusetts Institute of Technolo
 gy (MIT), Lincoln Laboratory); and Nitin Sukhija (Slippery Rock University
  of Pennsylvania)\n\n
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