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The Origins of the ParaView and VisIt Scientific Visualization Tools

  • James Ahrens
  • , Hank Childs
  • , Kenneth Moreland
  • , Chris Johnson
  • , Dave Kasik
  • , Mary C. Whitton

Research output: Contribution to journalArticlepeer-review

Abstract

ParaView and VisIt play a key role in the visual understanding of scientific simulation data. These tools are open source, designed to handle extremely large datasets, and can run on supercomputers and large-scale display walls. They are in daily use by scientists, practitioners, and students at supercomputing centers, in industry, and at universities. This article gives personal accounts of the origins of these visualization tools.

Original languageEnglish
Pages (from-to)127-137
Number of pages11
JournalIEEE Computer Graphics and Applications
Volume45
Issue number5
DOIs
StatePublished - 2025

Funding

This work was supported in part by the U.S. Department of Energy National Nuclear Security Administration and in part by the U.S. Department of Energy Office of Science. This work was supported in part by the U.S. Department of Energy National Nuclear Security Administration and in part by the U.S. Department of Energy Office of Science. The authors express their sincerest gratitude to the many contributors to both tools that made these software products possible. In particular, the authors thank the following for their contributions to ParaView: Lisa Avila, Utkarsh Ayachit, Sébastien Barré, Jeffrey Baumes, François Bertel, John Biddis-combe, Andy Cedilnik, David Cole, Patricia Crossno, Dave Demarle, Patricia Fasel, Lee Ann Fisk, Berk Geveci, David Gobbi, Li-Ta Lo, Bill Hoffman, Dean Inglis, Brad King, Rick Knight, Karthik Krishnan, C. Charles Law, Jeff Lee, Bill Lorensen, Mathieu Mala-terre, Ken Martin, John Patchett, Prabhu Ramachan-dran, Mark Richardson, David Rogers, Will Schroeder, W. Alan Scott, Christopher Sewell, Timothy M. Shead, Amy Squillacote, Eric Stanton, Yves Starreveld, Clinton Stimpson, David Thompson, Andy Wilson, and Brian Wylie. The authors also thank the following for their contributions to VisIt: Sean Ahern, Kathleen Biagas, Mark Blair, David Bremer, Eric Brugger, David Camp, Hank Childs, Cameron Christensen, Thomas Fogal, Kevin Griffin, Cyrus Harrison, Harinarayan Krishnan, Matt Larsen, Alister Maguire, Jeremy Meredith, Mark Miller, Shelley Prevost, Justin Privitera, David Pugmire, Allen Sanderson, Ellen Tarwater, Tom Treadway, Gunther Weber, and Brad Whitlock. We were all still feeling some of the sting of the missed connections and what could have been when a new revolution hit HPC at the turn of the next decade. As the features of graphics cards grew, their GPUs became more general purpose. Suddenly, GPUs went from being available on nearly no cluster computers to being on the most powerful supercomputers, which, ironically, were still ill suited for rendering. The change did not go unnoticed to the scientific visualization community, and multiple research projects started to update our visualization software to this new generation of computers. Ahrens managed PISTON, a project funded under ASC, Moreland led Dax, a project under the DOE Office of Science Advanced Scientific Computing Research (ASCR) program, and a third project, extreme-scale analysis and visualization library (EAVL), was funded by DOE laboratory directed research and development at Oak Ridge National Laboratory.11 As these projects began to produce viable software, it became clear that these software libraries would soon vie for adoption.

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