License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.8.7.1
URN: urn:nbn:de:0030-drops-101714
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10171/
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Bennett, Janine C. ; Childs, Hank ; Garth, Christoph ; Hentschel, Bernd
Weitere Beteiligte (Hrsg. etc.): Janine C. Bennett and Hank Childs and Christoph Garth and Bernd Hentschel

In Situ Visualization for Computational Science (Dagstuhl Seminar 18271)

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dagrep_v008_i007_p001_18271.pdf (12 MB)

Abstract

In situ visualization, i.e., visualizing simulation data as it is generated, is an emerging processing paradigm in response to trends in the area of high-performance computing. This paradigm holds great promise in its ability to access increased spatio-temporal resolution and leverage extensive computational power. However, the paradigm is also widely viewed as limiting when it comes to exploration-oriented use cases and further will require visualization systems to become more and more complicated and constrained. Additionally, there are many open research topics with in situ visualization. The Dagstuhl seminar 18271 "In Situ Visualization for Computational Science" brought together researchers and practitioners from three communities (computational science, high-performance computing, and scientific visualization) to share interesting findings, to identify lines of open research, and to determine a medium-term research agenda that addresses the most pressing problems. This report summarizes the outcomes and findings of the seminar.

BibTeX - Entry

@Article{bennett_et_al:DR:2019:10171,
  author =	{Janine C. Bennett and Hank Childs and Christoph Garth and Bernd Hentschel},
  title =	{{In Situ Visualization for Computational Science (Dagstuhl Seminar 18271)}},
  pages =	{1--43},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{8},
  number =	{7},
  editor =	{Janine C. Bennett and Hank Childs and Christoph Garth and Bernd Hentschel},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10171},
  URN =		{urn:nbn:de:0030-drops-101714},
  doi =		{10.4230/DagRep.8.7.1},
  annote =	{Keywords: In situ processing, scientific visualization, high-performance computing, computational science, Dagstuhl Seminar}
}

Keywords: In situ processing, scientific visualization, high-performance computing, computational science, Dagstuhl Seminar
Collection: Dagstuhl Reports, Volume 8, Issue 7
Issue Date: 2019
Date of publication: 22.01.2019

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