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DTSTART:19700308T020000
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DTSTAMP:20260522T150117Z
LOCATION:D168
DTSTART;TZID=America/Chicago:20181112T103000
DTEND;TZID=America/Chicago:20181112T105500
UID:submissions.supercomputing.org_SC18_sess140_ws_isav110@linklings.com
SUMMARY:A Flexible System For In Situ Triggers
DESCRIPTION:Matthew Larsen and Amy Woods (Lawrence Livermore National Labo
 ratory), Nicole Marsaglia (University of Oregon), Ayan Biswas and Soumya D
 utta (Los Alamos National Laboratory), cyrus harrison (Lawrence Livermore 
 National Laboratory), and Hank Childs (University of Oregon)\n\nTriggers a
 re an important mechanism for adapting I/O and visualization actions as a 
 simulation runs. We describe the system for triggers in the Ascent in situ
  infrastructure. This system splits a trigger into two components, when to
  perform an action and what actions to perform. The decision for when to p
 erform an action can be based on different types of factors, such as mesh 
 topology, scalar fields, or performance data. The actions to perform are a
 lso varied, ranging from the traditional action of saving simulation state
  to disk to performing arbitrary visualizations and analyses. We also incl
 ude details on the implementation and a short example demonstrating how it
  can be used.\n\nTag: Data Analytics, Data Management, Visualization\n\nRe
 gistration Category: Workshop Reg Pass\n\nSession Chairs: Earl P.N. Duque 
 (Intelligent Light); Nicola Ferrier (Argonne National Laboratory (ANL), Un
 iversity of Chicago); Kenneth Moreland (Oak Ridge National Laboratory (ORN
 L)); and Matthew Wolf (Oak Ridge National Laboratory (ORNL))\n\n
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