In Situ Visualization for Computational Science

Technical Report · Thu Feb 07 04:00:00 EST 2019

DOI:https://doi.org/10.2172/1493824· OSTI ID:1493824

Bennett, Janine Camille ^[1]; Childs, Hank ^[2]; Garth, Christoph ^[3]; Hentschel, Bernd ^[4]

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1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
2. Univ. of Oregon, Eugene, OR (United States)
3. Technische Universität Kaiserslautern (Germany)
4. RWTH Aachen Univ. (Germany)

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 within 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.

• Research Organization: Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1493824
• Report Number(s): SAND--2019-1116R; 672060
• Country of Publication: United States
• Language: English

Related Subjects

Computational Science
97 MATHEMATICS AND COMPUTING
Dagstuhl Seminar
High-Performance Computing
In Situ Processing
Scientific Visualization