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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_post250@linklings.com
SUMMARY:Exploring Application Performance on Fat-Tree Networks in the Pres
 ence of Congestion
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nExploring 
 Application Performance on Fat-Tree Networks in the Presence of Congestion
 \n\nTaffet, Rao, Karlin\n\nNetwork congestion, which occurs when multiple 
 applications simultaneously use shared links in cluster network, can cause
  poor communication performance, decreasing the performance and scalabilit
 y of parallel applications. Many studies are performed while clusters also
  run other production workloads, which makes it harder for them to isolate
  causes and their effects. To look at congestion in a more controlled sett
 ing we used dedicated access time on an HPC cluster and measured the perfo
 rmance of three HPC applications with different communication patterns run
  with varying amounts and types of background traffic. This enables us to 
 assess the relative sensitivity of the applications to congestion caused b
 y different traffic patterns. Our tests show that the applications were no
 t significantly impacted by even the most aggressive neighboring patterns,
  with all the performance degradation being 7% or less, pointing to the re
 siliency of the fat-tree topology.
URL:https://sc18.supercomputing.org/presentation/?id=post250&sess=sess323
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