Abstract
VTK-m is a toolkit of scientific visualization algorithms for emerging processor architectures. VTK-m supports the fine-grained concurrency for data analysis and visualization algorithms required to drive extreme scale computing by providing abstract models for data and execution that can be applied to a variety of algorithms across many different processor architectures.
- Developers:
-
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[1]
;
Pugmire, David
[1]
;
Maynard, Robert
;
Vacanti, Allison
;
Thompson, Nick
;
Lo, Li-Ta
[2]
;
Philip, Sujin
[3]
;
Ruebel, Oliver
[4]
;
Bolea, Vicente
[3]
;
Weber, Gunther
[4]
;
Yenpure, Abhishek
[3]
;
Larsen, Matthew
;
Ayachit, Utkarsh
;
Bujack, Roxana
[2]
;
Childs, Hank
[5]
;
Mathai, Manish
;
Bolstad, Mark
[6]
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Kitware, Inc., Clifton Park, NY (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of Oregon, Eugene, OR (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Release Date:
- 2023-02-20
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
C++
- Version:
- 2.0
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC)Primary Award/Contract Number:AC05-00OR22725FWP Numbers:ERKJ365USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)Primary Award/Contract Number:AC05-00OR22725FWP Numbers:ERKJEPM
- Code ID:
- 103640
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Country of Origin:
- United States
Citation Formats
Moreland, Kenneth, Pugmire, David, Maynard, Robert, Vacanti, Allison, Thompson, Nick, Lo, Li-Ta, Philip, Sujin, Ruebel, Oliver, Bolea, Vicente, Weber, Gunther, Yenpure, Abhishek, Larsen, Matthew, Ayachit, Utkarsh, Bujack, Roxana, Childs, Hank, Mathai, Manish, and Bolstad, Mark.
VTK-m v. 2.0.
Computer Software.
https://gitlab.kitware.com/vtk/vtk-m.
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC), USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR).
20 Feb. 2023.
Web.
doi:10.11578/dc.20230405.1.
Moreland, Kenneth, Pugmire, David, Maynard, Robert, Vacanti, Allison, Thompson, Nick, Lo, Li-Ta, Philip, Sujin, Ruebel, Oliver, Bolea, Vicente, Weber, Gunther, Yenpure, Abhishek, Larsen, Matthew, Ayachit, Utkarsh, Bujack, Roxana, Childs, Hank, Mathai, Manish, & Bolstad, Mark.
(2023, February 20).
VTK-m v. 2.0.
[Computer software].
https://gitlab.kitware.com/vtk/vtk-m.
https://doi.org/10.11578/dc.20230405.1.
Moreland, Kenneth, Pugmire, David, Maynard, Robert, Vacanti, Allison, Thompson, Nick, Lo, Li-Ta, Philip, Sujin, Ruebel, Oliver, Bolea, Vicente, Weber, Gunther, Yenpure, Abhishek, Larsen, Matthew, Ayachit, Utkarsh, Bujack, Roxana, Childs, Hank, Mathai, Manish, and Bolstad, Mark.
"VTK-m v. 2.0." Computer software.
February 20, 2023.
https://gitlab.kitware.com/vtk/vtk-m.
https://doi.org/10.11578/dc.20230405.1.
@misc{
doecode_103640,
title = {VTK-m v. 2.0},
author = {Moreland, Kenneth and Pugmire, David and Maynard, Robert and Vacanti, Allison and Thompson, Nick and Lo, Li-Ta and Philip, Sujin and Ruebel, Oliver and Bolea, Vicente and Weber, Gunther and Yenpure, Abhishek and Larsen, Matthew and Ayachit, Utkarsh and Bujack, Roxana and Childs, Hank and Mathai, Manish and Bolstad, Mark},
abstractNote = {VTK-m is a toolkit of scientific visualization algorithms for emerging processor architectures. VTK-m supports the fine-grained concurrency for data analysis and visualization algorithms required to drive extreme scale computing by providing abstract models for data and execution that can be applied to a variety of algorithms across many different processor architectures.},
doi = {10.11578/dc.20230405.1},
url = {https://doi.org/10.11578/dc.20230405.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20230405.1}},
year = {2023},
month = {feb}
}