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DTSTAMP:20181221T160905Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181114T083000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess323_post150@linklings.com
SUMMARY:Job Simulation for Large-Scale PBS-Based Clusters with the Maui Sc
 heduler
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nJob Simula
 tion for Large-Scale PBS-Based Clusters with the Maui Scheduler\n\nZitzlsb
 erer, Jansik, Martinovic\n\nFor large-scale High Performance Computing cen
 ters with a wide range of different projects and heterogeneous infrastruct
 ures, efficiency is an important consideration. Understanding how compute 
 jobs are scheduled is necessary for improving the job scheduling strategie
 s in order to optimize cluster utilization and job wait times. This increa
 ses the importance of a reliable simulation capability, which in turn requ
 ires accuracy and comparability with historic workloads from the cluster. 
 Not all job schedulers have a simulation capability, including the Portabl
 e Batch System (PBS) resource manager. Hence, PBS based centers have no di
 rect way to simulate changes and optimizations before they are applied to 
 the production system. We propose and discuss how to run job simulations f
 or large-scale PBS based clusters with the Maui Scheduler. For validation 
 purposes, we use historic workloads collected at the IT4Innovations superc
 omputing center, and demonstrate the viability of our approach.
URL:https://sc18.supercomputing.org/presentation/?id=post150&sess=sess323
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