ParaView

ParaView

Paraview 5.0
Developer(s) Sandia National Laboratory,
Kitware Inc,
Los Alamos National Laboratory
Stable release 5.0.1[1] / March 30, 2016 (2016-03-30)[1]
Written in C, C++, Fortran, Python
Operating system Unix/Linux, Mac OS X, Microsoft Windows
Type Scientific visualization, Interactive visualization
License BSD
Website www.paraview.org

ParaView is an open source multiple-platform application for interactive, scientific visualization. It has a client–server architecture to facilitate remote visualization of datasets, and generates level of detail (LOD) models to maintain interactive frame rates for large datasets. It is an application built on top of the Visualization Tool Kit (VTK) libraries. ParaView is an application designed for data parallelism on shared-memory or distributed-memory multicomputers and clusters. It can also be run as a single-computer application.

Summary

ParaView is an open source, multi-platform data analysis and visualization application. Paraview is known and used in many different communities to analyze and visualize scientific data sets.[2] It can be used to build visualizations to analyze data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities.[3]

ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.[3]

ParaView is an application framework as well as a turn-key application. The ParaView code base is designed in such a way that all of its components can be reused to quickly develop vertical applications. This flexibility allows ParaView developers to quickly develop applications that have specific functionality for a specific problem domain.

ParaView runs on distributed and shared memory parallel and single processor systems. It has been successfully tested on Windows, Mac OS X, Linux, IBM Blue Gene, Cray Xt3 and various Unix workstations, clusters and supercomputers. Under the hood, ParaView uses Visualization Tool Kit (VTK) as the data processing and rendering engine and has a user interface written using Qt.

The goals of the ParaView team include the following:

History

The ParaView project started in 2000[4] as a collaborative effort between Kitware, Inc. and Los Alamos National Laboratory through funding provided by the US Department of Energy ASCI Views program. The first public release was announced in October 2002.

Independent of ParaView, Kitware developed a web-based visualization system in December 2001. This project was funded by Phase I and II SBIRs from the US Army Research Laboratory and eventually became the ParaView Enterprise Edition. PVEE significantly contributed to the development of ParaView's client/server architecture.

In September 2005, Kitware, Sandia National Labs and CSimSoft started the development of ParaView 3.0.[5] ParaView 3.0 was released in May 2007.

Features

Visualization capabilities

Input/output and file format

User interaction

Large data and distributed computing

Scripting and extensibility

ParaView in use

See also

References

  1. 1 2 "ParaView 5.0.1 Release Notes". Retrieved April 16, 2016.
  2. Niklas Röber (August 6, 2014). Paraview Tutorial for Climate Science (PDF). DKRZ, Deutsches Klimarechenzentrum. Retrieved March 8, 2016.
  3. 1 2 Utkarsh Ayachit (January 22, 2015). The ParaView Guide: A Parallel Visualization Application (PDF). Kitware, Inc. ISBN 1930934300. Retrieved March 8, 2016.
  4. Kitware (March 10, 2000). "Kitware Signs Contract to Develop Parallel Processing Tools". Retrieved March 8, 2016.
  5. Kitware (March 13, 2007). "ParaView III Alpha Release". Retrieved March 8, 2016.
  6. Kitware (November 13, 2015). "ParaView/Plugin HowTo". Retrieved March 8, 2016.
  7. Kitware (August 22, 2012). "ParaView/Extending ParaView at Compile Time". Retrieved March 8, 2016.
  8. David Higham (March 17, 2005). "Sandia National Labs Achieves Breakthrough Performance Using NVIDIA Technology for Scientific Visualization". Retrieved March 8, 2016.
  9. OpenCFD Ltd (ESI Group) (January 13, 2016). "OpenFOAM® v3.0+: New Post-processing Functionality". Retrieved March 8, 2016.
  10. Russell Taylor. "Comp/Phys/Mtsc 715, Visualization in the Sciences". Retrieved March 8, 2016.
  11. National Center for Computational Sciences at Oak Ridge National Laboratory (January 16, 2016). "Running ParaView on Titan". Retrieved March 8, 2016.

External links

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