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DTSTART;TZID=America/Denver:20191122T094500
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UID:submissions.supercomputing.org_SC19_sess133_ws_daac109@linklings.com
SUMMARY:HiperJobViz: Visualizing Resource Allocations in High-Performance 
 Computing Center via Multivariate Health-Status Data
DESCRIPTION:Workshop\n\nHiperJobViz: Visualizing Resource Allocations in H
 igh-Performance Computing Center via Multivariate Health-Status Data\n\nDa
 ng, Nguyen, Hass\n\nScheduling, visualizing, and balancing resource alloca
 tions in High-Performance Computing Centers are complicated tasks due to a
  large amount of data and the dynamic natures of the resource allocation p
 roblem. This paper introduces HiperJobViz, a visual analytic tool for visu
 alizing the resource allocations of data centers for jobs, users, and usag
 e statistics. The goals of this tool are: 1) to provide an overview of the
  current resource usages, 2) to track changes of resource usages by users,
  jobs, and hosts and 3) to provide a detailed view of the resource usage v
 ia multi-dimensional representation of health metrics, such as CPU tempera
 tures, memory usage, and power consumption. To support these goals, our vi
 sual analytics tool provides a full range of interactive features, includi
 ng details on demands, brushing and links, and filtering.\n\nTag: Workshop
  Reg Pass, Big Data, Collaborative Environments, Data Analytics, Data Mana
 gement, Datacenter\n\nRegistration Category: Workshop Reg Pass, Big Data, 
 Collaborative Environments, Data Analytics, Data Management, Datacenter
URL:https://sc19.supercomputing.org/presentation/?id=ws_daac109&sess=sess1
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