Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

In Situ Visualization for Computational Science (Dagstuhl Seminar 18271)

Journal Article · · Dagstuhl Reports
DOI:https://doi.org/10.4230/DagRep.8.7.1· OSTI ID:1492333
 [1];  [2];  [3];  [4]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Univ. of Oregon, Eugene, OR (United States)
  3. Technische Univ. Kaiserslautern, Kaiserslautern (Germany)
  4. RWTH Aachen Univ. (Germany)
+ Show Author Affiliations
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.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Grant/Contract Number:
AC02-05CH11231; NA0003525
OSTI ID:
1492333
Journal Information:
Dagstuhl Reports, Journal Name: Dagstuhl Reports Journal Issue: 7 Vol. 8; ISSN 2192-5283
Publisher:
Dagstuhl PublishingCopyright Statement
Country of Publication:
United States
Language:
English

Cited By (1)

Is Smaller Always Better? - Evaluating Video Compression Techniques for Simulation Ensembles text January 2021

Similar Records

In Situ Visualization for Computational Science
Technical Report · Wed Feb 06 23:00:00 EST 2019 · OSTI ID:1493824
In Situ Visualization for Computational Science
Conference · Sun Jul 01 00:00:00 EDT 2018 · OSTI ID:1559594
Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic
Journal Article · Tue Jan 25 23:00:00 EST 2011 · Journal of Network and Systems Management, 18(2):232-236 · OSTI ID:1007354

Related Subjects

97 MATHEMATICS AND COMPUTING
Dagstuhl Seminar
In situ processing
computational science
high-performance computing
scientific visualization