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DTSTART:19700308T020000
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DTSTAMP:20181221T160911Z
LOCATION:C140/142
DTSTART;TZID=America/Chicago:20181113T153000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess182@linklings.com
SUMMARY:Resource Management and Interference
DESCRIPTION:Paper\nNetworks, Resource Management, Scheduling, State of the
  Practice, System Software, Tech Program Reg Pass\n\nMitigating Inter-Job 
 Interference Using Adaptive Flow-Aware Routing\n\nSmith, Cromey, Lowenthal
 , Domke, Jain...\n\nOn most high performance computing platforms, applicat
 ions share network resources with other jobs running concurrently on the s
 ystem.  Inter-job network interference can have a significant impact on th
 e performance of communication-intensive applications, and no satisfactory
  solutions yet exist for...\n\n---------------------\nRM-Replay: A High-Fi
 delity Tuning, Optimization and Exploration Tool for Resource Management\n
 \nMartinasso, Gila, Bianco, Alam, McMurtrie...\n\nLeading hybrid and heter
 ogeneous supercomputing systems process hundreds of thousands of jobs usin
 g complex scheduling algorithms and parameters. The centers operating thes
 e systems aim to achieve higher levels of resource utilization while being
  restricted by compliance with policy constraints. The...\n\n-------------
 --------\nEvaluation of an Interference-Free Node Allocation Policy on Fat
 -Tree Clusters\n\nPollard, Jain, Herbein, Bhatele\n\nInterference between 
 jobs competing for network bandwidth on a fat-tree cluster can cause signi
 ficant variability and degradation in performance. These performance issue
 s can be mitigated or completely eliminated if the resource allocation pol
 icy takes the network topology into account when allocati...\n
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