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DTSTAMP:20260522T150111Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post150@linklings.com
SUMMARY:Job Simulation for Large-Scale PBS-Based Clusters with the Maui Sc
 heduler
DESCRIPTION:Georg Zitzlsberer, Branislav Jansik, and Jan Martinovic (IT4In
 novations, Czech Republic; Technical University of Ostrava, Czech Republic
 )\n\nFor large-scale High Performance Computing centers with a wide range 
 of different projects and heterogeneous infrastructures, efficiency is an 
 important consideration. Understanding how compute jobs are scheduled is n
 ecessary for improving the job scheduling strategies in order to optimize 
 cluster utilization and job wait times. This increases the importance of a
  reliable simulation capability, which in turn requires accuracy and compa
 rability with historic workloads from the cluster. Not all job schedulers 
 have a simulation capability, including the Portable Batch System (PBS) re
 source manager. Hence, PBS based centers have no direct way to simulate ch
 anges and optimizations before they are applied to the production system. 
 We propose and discuss how to run job simulations for large-scale PBS base
 d clusters with the Maui Scheduler. For validation purposes, we use histor
 ic workloads collected at the IT4Innovations supercomputing center, and de
 monstrate the viability of our approach.\n\nRegistration Category: Tech Pr
 ogram Reg Pass, Exhibits Reg Pass\n\n
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