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Distributed Post-Processing and Rendering for Large-Scale Scientific Simulations

Flatken, Markus and Wagner, Christian and Gerndt, Andreas (2014) Distributed Post-Processing and Rendering for Large-Scale Scientific Simulations. In: Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization Mathematics and Visualization. Springer. pp. 381-398. ISBN 978-1-4471-6496-8. ISSN 1612-3786

Full text not available from this repository.

Official URL: http://www.springer.com/mathematics/computational+science+engineering/book/978-1-4471-6496-8

Abstract

With the ever-increasing capacity of high-performance computing (HPC) systems, computational simulation models become finer and more accurate. The size and complexity of the data produced, however, pose tremendous challenges for the visualization and analysis tasks. Explorative approaches, in particular, require the development of interactive human-computer interfaces using distributed and parallel post-processing architectures. Such infrastructures can also be used for the interaction with running simulations, with applications ranging from online monitoring to computational steering. Additionally, remote and parallel rendering can be integrated into the overall setup. This chapter gives an overview of current solutions and ongoing research activities in this domain.

Item URL in elib:https://elib.dlr.de/93769/
Document Type:Book Section
Title:Distributed Post-Processing and Rendering for Large-Scale Scientific Simulations
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Flatken, Markusmarkus.flatken (at) dlr.deUNSPECIFIED
Wagner, ChristianUniversity of Kaiserslautern, Kaiserslautern, GermanyUNSPECIFIED
Gerndt, Andreasandreas.gerndt (at) dlr.deUNSPECIFIED
Date:September 2014
Journal or Publication Title:Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1007/978-1-4471-6497-5
Page Range:pp. 381-398
Editors:
EditorsEmail
Chen, M.Pembroke College Oxford
Hagen, H.University of Kaiserslautern
Hansen, C.University of Utah
Johnson, C.University of California, Davis
Publisher:Springer
Series Name:Mathematics and Visualization
ISSN:1612-3786
ISBN:978-1-4471-6496-8
Status:Published
Keywords:High-Performance Computing, In-Situ Processing, Post-Processing, Visualization, Hybrid Rendering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Braunschweig
Institutes and Institutions:Institut of Simulation and Software Technology > Software for Space Systems and Interactive Visualisation
Deposited By: Flatken, Markus
Deposited On:17 Dec 2014 15:42
Last Modified:17 Dec 2014 15:42

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