VisIt is an interactive parallel visualization and graphical analysis tool for viewing scientific data. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. It was designed to interactively handle very large data set sizes in the terascale range, and works well down to small data sets in the kilobyte range. (Source:

References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Chang, J.; Karra, S.; Nakshatrala, K.B.: Large-scale optimization-based non-negative computational framework for diffusion equations: parallel implementation and performance studies (2017)
  2. Owkes, Mark; Desjardins, Olivier: A mass and momentum conserving unsplit semi-Lagrangian framework for simulating multiphase flows (2017)
  3. Zhao, Jia; Wang, Qi: Three-dimensional numerical simulations of biofilm dynamics with quorum sensing in a flow cell (2017)
  4. Laboure, Vincent M.; McClarren, Ryan G.; Hauck, Cory D.: Implicit filtered $P_N$ for high-energy density thermal radiation transport using discontinuous Galerkin finite elements (2016)
  5. Nicholas A. Battista, W. Christopher Strickland, Laura A. Miller: IB2d: a Python and MATLAB implementation of the immersed boundary method (2016) arXiv
  6. Pandya, Tara M.; Johnson, Seth R.; Evans, Thomas M.; Davidson, Gregory G.; Hamilton, Steven P.; Godfrey, Andrew T.: Implementation, capabilities, and benchmarking of shift, a massively parallel Monte Carlo radiation transport code (2016)
  7. Zhao, Jia; Seeluangsawat, Paisa; Wang, Qi: Modeling antimicrobial tolerance and treatment of heterogeneous biofilms (2016)
  8. Ribés, Alejandro; Lorendeau, Benjamin; Jomier, Julien; Fournier, Yvan: In-situ visualization in computational fluid dynamics using open-source tools: Integration of Catalyst into \itCode_Saturne (2015)
  9. Ameli, Siavash; Desai, Yogin; Shadden, Shawn C.: Development of an efficient and flexible pipeline for Lagrangian coherent structure computation (2014)
  10. Mösta, Philipp; Mundim, Bruno C.; Faber, Joshua A.; Haas, Roland; Noble, Scott C.; Bode, Tanja; Löffler, Frank; Ott, Christian D.; Reisswig, Christian; Schnetter, Erik: GRHydro: a new open-source general-relativistic magnetohydrodynamics code for the Einstein toolkit (2014)
  11. May, Sandra; Nonaka, Andrew; Almgren, Ann; Bell, John: An unsplit, higher-order Godunov method using quadratic reconstruction for advection in two dimensions (2011)
  12. Nonaka, A.; May, S.; Almgren, A.S.; Bell, J.B.: A three-dimensional, unsplit Godunov method for scalar conservation laws (2011)