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 48 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. Andrade, Tomas; Pantelidou, Christiana; Sonner, Julian; Withers, Benjamin: Driven black holes: from Kolmogorov scaling to turbulent wakes (2021)
  3. Battista, Nicholas A.: Fluid-structure interaction for the classroom: interpolation, hearts, and swimming! (2021)
  4. Bender, Jason D.; Schilling, Oleg; Raman, Kumar S.; Managan, Robert A.; Olson, Britton J.; Copeland, Sean R.; Ellison, C. Leland; Erskine, David J.; Huntington, Channing M.; Morgan, Brandon E.; Nagel, Sabrina R.; Prisbrey, Shon T.; Pudliner, Brian S.; Sterne, Philip A.; Wehrenberg, Christopher E.; Zhou, Ye: Simulation and flow physics of a shocked and reshocked high-energy-density mixing layer (2021)
  5. Gabriele Bozzola: kuibit: Analyzing Einstein Toolkit simulations with Python (2021) arXiv
  6. Jin, Tai; Song, Changcheng; Wang, Haiou; Gao, Zhengwei; Luo, Kun; Fan, Jianren: Direct numerical simulation of a supercritical hydrothermal flame in a turbulent jet (2021)
  7. Kevin Kramer; Johan Chang: Visualization of Multi-Dimensional Data - The data-slicer Package (2021) not zbMATH
  8. Miles, Jason G.; Battista, Nicholas A.: Exploring the sensitivity in jellyfish locomotion under variations in scale, frequency, and duty cycle (2021)
  9. Olsthoorn, Jason; Tedford, Edmund W.; Lawrence, Gregory A.: The cooling box problem: convection with a quadratic equation of state (2021)
  10. Zou, Shufan; Yang, Yantao: Realizing the ultimate scaling in convection turbulence by spatially decoupling the thermal and viscous boundary layers (2021)
  11. 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)
  12. Bachini, Elena; Putti, Mario: Geometrically intrinsic modeling of shallow water flows (2020)
  13. 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)
  14. 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)
  15. Konshin, I. N.; Terekhov, K. M.; Vassilevski, Yu. V.: Numerical modelling via INMOST software platform (2020)
  16. Kraus, Johannes; Nakov, Svetoslav; Repin, Sergey: Reliable computer simulation methods for electrostatic biomolecular models based on the Poisson-Boltzmann equation (2020)
  17. Kraus, Johannes; Nakov, Svetoslav; Repin, Sergey I.: Reliable numerical solution of a class of nonlinear elliptic problems generated by the Poisson-Boltzmann equation (2020)
  18. 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)
  19. 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)
  20. Frolov, Roman: An efficient algorithm for the multicomponent compressible Navier-Stokes equations in low- and high-Mach number regimes (2019)

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