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LOCATION:503-504
DTSTART;TZID=America/Denver:20231112T112700
DTEND;TZID=America/Denver:20231112T113400
UID:submissions.supercomputing.org_SC23_sess422_ws_hpcsysp105@linklings.co
 m
SUMMARY:What a GReaT Scheduling Opportunity
DESCRIPTION:Gary Skouson (Pennsylvania State University)\n\nThere are like
 ly more ideas about the fair way to schedule workloads than there are syst
 ems that run those workloads. Possibly more than the number of users of th
 ose systems. Unfortunately, since fair is different in different contexts,
  the optimal solution is unlikely to be a one-size-fits-all, solution, or 
 even an adjustable-size solution where everyone turns a couple of knobs to
  get the optimal fair solution to meet their need.<br /> <br />I will pres
 ent GReaT allocations used at the Institute for Computational and Data Sci
 ences, at Penn State University. We provide guaranteed start time expectat
 ions and priority scheduling, similar in some respects to condo-like sched
 uling systems. In addition to start time and resource availability, we pro
 vide access to temporary extended resources and protection against rogue o
 r runaway jobs that could drain allocations. Our configuration required ad
 ditional extensions in addition to the standard tools provided with slurm 
 scheduling systems.\n\nTag: Artificial Intelligence/Machine Learning, Clou
 d Computing, Distributed Computing, Data Analysis, Visualization, and Stor
 age, Data Movement and Memory, Fault Handling and Tolerance, I/O and File 
 Systems, Large Scale Systems, Performance Optimization, Resource Managemen
 t, Security, State of the Practice\n\nRegistration Category: Workshop Reg 
 Pass\n\nSession Chairs: Matt Bidwell (National Renewable Energy Laboratory
  (NREL)) and John Blaas (National Center for Atmospheric Research (NCAR))\
 n\n
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