BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000711Z
LOCATION:503-504
DTSTART;TZID=America/Denver:20231113T160000
DTEND;TZID=America/Denver:20231113T163000
UID:submissions.supercomputing.org_SC23_sess447_ws_pmbsf131@linklings.com
SUMMARY:A Reinforcement Learning-Based Backfilling Strategy for HPC Batch 
 Jobs
DESCRIPTION:Elliot Kolker-Hicks and Di Zhang (University of North Carolina
  at Charlotte) and Dong Dai (University of North Carolina, Charlotte)\n\nH
 PC systems employ a scheduling technique called “backfilling”, wherein low
 -priority jobs are scheduled earlier to use the available resources that a
 re waiting for the pending high-priority jobs. Backfilling relies on job r
 untime to calculate the start time of the ready-to-schedule jobs and avoid
  delaying them. It is a common belief that better estimations of job runti
 me will lead to better backfilling and more effective scheduling. However,
  our experiments show a different conclusion: there is a missing trade-off
  between prediction accuracy and backfilling opportunities. To learn how t
 o achieve the best trade-off, we believe reinforcement learning (RL) can b
 e effectively leveraged. Based on this idea, we designed RLBackfilling, a 
 reinforcement learning based backfilling algorithm. Our evaluation results
  show up to 17x better scheduling performance compared to EASY backfilling
  using user-provided job runtime and 4.7x better performance comparing wit
 h EASY using the ideal predicted job runtime (the actual job runtime).\n\n
 Tag: Modeling and Simulation, Performance Measurement, Modeling, and Tools
 \n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Simon Hamm
 ond (National Nuclear Security Administration (NNSA)); Stephen Jarvis (Uni
 versity of Birmingham, UK); and Steven A. Wright (University of York, Engl
 and)\n\n
END:VEVENT
END:VCALENDAR