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ParaView: An End-User Tool for Large-Data Visualization

Open access
AHRENS, JAMES, GEVECI, BERK, LAW, CHARLES·2005·Visualization Handbook

Abstract

This chapter describes the design and features of a visualization tool called ParaView, a tool that allows scientists to visualize and analyze extremely large datasets. The tool provides a graphical user interface for the creation and dynamic execution of visualization tasks. ParaView transparently supports the visualization and rendering of large datasets by executing these programs in parallel on shared or distributed memory machines. ParaView supports hardware-accelerated parallel rendering and achieves interactive rendering performance via level-of-detail techniques. The design balances and integrates a number of diverse requirements, including the ability to handle large data, ease of use, and extensibility by developers. The chapter describes the requirements that guided the design, identifies the importance of those requirements to scientific users, and discusses key design decisions and tradeoffs.

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Metadata

Authors
AHRENS, J., GEVECI, B., & LAW, C.
Venue
Visualization Handbook
Publisher
Elsevier
Published
2005
Pages
717-731
OpenAlex
W1498712972
Cited by
2,193
References
0
FWCI
7.18
Type
book chapter
Language
en
Open access
green

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CoChat. (2026). Citation check: ParaView: An End-User Tool for Large-Data Visualization. https://app.cochat.ai/papers/10.1016/b978-012387582-2/50038-1
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AHRENS, J., GEVECI, B., & LAW, C. (2005). ParaView: An End-User Tool for Large-Data Visualization. Visualization Handbook. https://doi.org/10.1016/b978-012387582-2/50038-1

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.