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LOCATION:D168
DTSTART;TZID=America/Chicago:20181112T142500
DTEND;TZID=America/Chicago:20181112T145000
UID:submissions.supercomputing.org_SC18_sess140_ws_isav108@linklings.com
SUMMARY:libIS: A Lightweight Library for Flexible In Transit Visualization
DESCRIPTION:Will Usher (SCI Insitute, University of Utah; Intel Corporatio
 n); Silvio Rizzi (Argonne National Laboratory); Ingo Wald and Jefferson Am
 stutz (Intel Corporation); Joe Insley, Venkatram Vishwanath, Nicola Ferrie
 r, and Michael E. Papka (Argonne National Laboratory); and Valerio Pascucc
 i (University of Utah)\n\nAs simulations grow in scale, the need for in si
 tu analysis methods to handle the large data produced grows correspondingl
 y. One desirable approach to in situ visualization is in transit visualiza
 tion.  By decoupling the simulation and visualization code, in transit app
 roaches alleviate common difficulties with regard to the scalability of th
 e analysis, ease of integration, usability, and impact on the simulation. 
 We present libIS, a lightweight,  flexible library which lowers the bar fo
 r using in transit visualization.  Our library works on the concept of abs
 tract regions of space containing data, which are transferred from the sim
 ulation to the visualization clients using a client-server model. We also 
 provide a SENSEI analysis adaptor, which allows for transparent deployment
  of in transit visualization.  We demonstrate the flexibility of our appro
 ach on batch analysis and interactive visualization use cases on different
  HPC resources.\n\nTag: Data Analytics, Data Management, Visualization\n\n
 Registration Category: Workshop Reg Pass\n\nSession Chairs: Earl P.N. Duqu
 e (Intelligent Light); Nicola Ferrier (Argonne National Laboratory (ANL), 
 University of Chicago); Kenneth Moreland (Oak Ridge National Laboratory (O
 RNL)); and Matthew Wolf (Oak Ridge National Laboratory (ORNL))\n\n
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