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 34 articles )

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  1. Anderson, Robert; Andrej, Julian; Barker, Andrew; Bramwell, Jamie; Camier, Jean-Sylvain; Cerveny, Jakub; Dobrev, Veselin; Dudouit, Yohann; Fisher, Aaron; Kolev, Tzanio; Pazner, Will; Stowell, Mark; Tomov, Vladimir; Akkerman, Ido; Dahm, Johann; Medina, David; Zampini, Stefano: MFEM: a modular finite element methods library (2021)
  2. Anderson, Thomas G.; Bruno, Oscar P.; Lyon, Mark: High-order, dispersionless “fast-hybrid” wave equation solver. I: (\mathcalO(1)) sampling cost via incident-field windowing and recentering (2020)
  3. Bruno, Oscar P.; Fernandez-Lado, Agustin G.: On the evaluation of quasi-periodic Green functions and wave-scattering at and around Rayleigh-Wood anomalies (2020)
  4. Harper, Graham; Wang, Ruishu; Liu, Jiangguo; Tavener, Simon; Zhang, Ran: A locking-free solver for linear elasticity on quadrilateral and hexahedral meshes based on enrichment of Lagrangian elements (2020)
  5. Kraus, Johannes; Nakov, Svetoslav; Repin, Sergey: Reliable computer simulation methods for electrostatic biomolecular models based on the Poisson-Boltzmann equation (2020)
  6. Kraus, Johannes; Nakov, Svetoslav; Repin, Sergey I.: Reliable numerical solution of a class of nonlinear elliptic problems generated by the Poisson-Boltzmann equation (2020)
  7. Akkerman, I.; ten Eikelder, M. F. P.: Toward free-surface flow simulations with correct energy evolution: an isogeometric level-set approach with monolithic time-integration (2019)
  8. Ducoin, A.; Astolfi, J. A.: Wall-pressure fluctuations of laminar separation bubble based on direct numerical simulation and experiments over a hydrofoil at (\mathrmRe=450,000) (2019)
  9. Frolov, Roman: An efficient algorithm for the multicomponent compressible Navier-Stokes equations in low- and high-Mach number regimes (2019)
  10. Joshaghani, M. S.; Joodat, S. H. S.; Nakshatrala, K. B.: A stabilized mixed discontinuous Galerkin formulation for double porosity/permeability model (2019)
  11. Leavy, R. B.; Guilkey, J. E.; Phung, B. R.; Spear, A. D.; Brannon, R. M.: A convected-particle tetrahedron interpolation technique in the material-point method for the mesoscale modeling of ceramics (2019)
  12. Malan, L. C.; Ling, Y.; Scardovelli, R.; Llor, A.; Zaleski, S.: Detailed numerical simulations of pore competition in idealized micro-spall using the VOF method (2019)
  13. Robert Anderson, Julian Andrej, Andrew Barker, Jamie Bramwell, Jean-Sylvain Camier, Jakub Cerveny, Veselin Dobrev, Yohann Dudouit, Aaron Fisher, Tzanio Kolev, Will Pazner, Mark Stowell, Vladimir Tomov, Johann Dahm, David Medina, Stefano Zampini: MFEM: a modular finite element methods library (2019) arXiv
  14. Roberts, Nathan V.: Camellia: a rapid development framework for finite element solvers (2019)
  15. Sarkar, Tanmay; Chandrashekar, Praveen: Stabilized discontinuous Galerkin scheme for the magnetic induction equation (2019)
  16. Badia, Santiago; Martín, Alberto F.; Principe, Javier: \textttFEMPAR: an object-oriented parallel finite element framework (2018)
  17. Brauss, K. D.; Meir, A. J.: On a parallel, 3-dimensional, finite element solver for viscous, resistive, stationary magnetohydrodynamics equations: velocity-current formulation (2018)
  18. Maunoury, Matthieu; Besse, Christophe; Mouysset, Vincent; Pernet, Sébastien; Haas, Pol-André: Well-suited and adaptive post-processing for the visualization of (hp) simulation results (2018)
  19. Chang, J.; Karra, S.; Nakshatrala, K. B.: Large-scale optimization-based non-negative computational framework for diffusion equations: parallel implementation and performance studies (2017)
  20. Owkes, Mark; Desjardins, Olivier: A mass and momentum conserving unsplit semi-Lagrangian framework for simulating multiphase flows (2017)

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