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Ultrascale visualization capabilities for the ParaView/VTK framework

RESOURCE

Publicly Accessible Repository
https://gitlab.kitware.com/paraview/catalyst
https://doi.org/10.11578/dc.20171025.1180

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Abstract

The software is a set of technologies developed by the SciDAC Institute for Ultrascale Visualization in order to address the visualization needs for petascale computing and beyond. These technologies include improved I/O performance, simulation co-processing, advanced rendering capabilities, and specialized visualization techniques developed for SciDAC applications.
Developers:
Release Date:
2009-06-02
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
C++
C
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
1264
Site Accession Number:
SCR# 1187
Research Org.:
Sandia National Laboratories
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://gitlab.kitware.com/paraview/catalyst
https://doi.org/10.11578/dc.20171025.1180

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Citation Formats

MORELAND, KENNETH, and FABIAN, NATHAN. Ultrascale visualization capabilities for the ParaView/VTK framework. Computer Software. https://gitlab.kitware.com/paraview/catalyst. USDOE. 02 Jun. 2009. Web. doi:10.11578/dc.20171025.1180.
MORELAND, KENNETH, & FABIAN, NATHAN. (2009, June 02). Ultrascale visualization capabilities for the ParaView/VTK framework. [Computer software]. https://gitlab.kitware.com/paraview/catalyst. https://doi.org/10.11578/dc.20171025.1180.
MORELAND, KENNETH, and FABIAN, NATHAN. "Ultrascale visualization capabilities for the ParaView/VTK framework." Computer software. June 02, 2009. https://gitlab.kitware.com/paraview/catalyst. https://doi.org/10.11578/dc.20171025.1180.
@misc{ doecode_1264,
title = {Ultrascale visualization capabilities for the ParaView/VTK framework},
author = {MORELAND, KENNETH and FABIAN, NATHAN},
abstractNote = {The software is a set of technologies developed by the SciDAC Institute for Ultrascale Visualization in order to address the visualization needs for petascale computing and beyond. These technologies include improved I/O performance, simulation co-processing, advanced rendering capabilities, and specialized visualization techniques developed for SciDAC applications.},
doi = {10.11578/dc.20171025.1180},
url = {https://doi.org/10.11578/dc.20171025.1180},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1180}},
year = {2009},
month = {jun}
}