VTK-m v. 1.0

Moreland, Kenneth; Maynard, Robert; Philip, Sujin; Meredith, Jeremy; Pugmire, Dave; Sewell, Christopher; Fasel, Patrick Kroll; Usher, William; Childs, Hank; Lessley, Brent; Larsen, Matt; Schroots, Hendrick; Neuroth, Tyson; Chen, Chun-Ming; Lu, Kewei; Biddiscombe, John; Corona, T.J.

doi:10.11578/dc.20171025.1733

VTK-m v. 1.0

Software · Thu Mar 10 19:00:00 EST 2016

DOI:https://doi.org/10.11578/dc.20171025.1733· OSTI ID:code-3993 · Code ID:3993

Moreland, Kenneth ^[1]; Maynard, Robert ^[2]; Philip, Sujin ^[2]; Meredith, Jeremy ^[3]; Pugmire, Dave ^[3]; Sewell, Christopher ^[4]; Fasel, Patrick Kroll ^[4]; Usher, William ^[4]; Childs, Hank ^[5]; Lessley, Brent ^[5]; Larsen, Matt ^[5]; Schroots, Hendrick ^[6]; Neuroth, Tyson ^[6]; Chen, Chun-Ming ^[7]; Lu, Kewei ^[7]; Biddiscombe, John ^[8]; Corona, T.J. ^[2]

Sandia National Laboratories
Kitware
ORNL
LANL
University of Oregon
UC Davis
Ohio State
CSCS

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.

Short Name / Acronym:: VTK-m

Site Accession Number:: 6869

Software Type:: Scientific

License(s):: BSD 3-clause "New" or "Revised" License

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE

Primary Award/Contract Number:

AC04-94AL85000

DOE Contract Number:: AC04-94AL85000

Code ID:: 3993

OSTI ID:: code-3993

Country of Origin:: United States

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