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Proceedings Paper

Parallel large data visualization with display walls
Author(s): Luiz Scheidegger; Huy T. Vo; Jens Krüger; Cláudio T. Silva; João L. D. Comba
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Paper Abstract

While there exist popular software tools that leverage the power of arrays of tiled high resolution displays, they usually require either the use of a particular API or significant programming effort to be properly configured. We present PVW (Parallel Visualization using display Walls), a framework that uses display walls for scientific visualization, requiring minimum labor in setup, programming and configuration. PVW works as a plug-in to pipeline-based visualization software, and allows users to migrate existing visualizations designed for a single-workstation, single-display setup to a large tiled display running on a distributed machine. Our framework is also extensible, allowing different APIs and algorithms to be made display wall-aware with minimum effort.

Paper Details

Date Published: 24 January 2012
PDF: 11 pages
Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940C (24 January 2012); doi: 10.1117/12.912032
Show Author Affiliations
Luiz Scheidegger, Facebook Inc. (United States)
Huy T. Vo, Polytechnic Institute of New York Univ. (United States)
Jens Krüger, Saarland Univ. (Germany)
Cláudio T. Silva, Polytechnic Institute of New York Univ. (United States)
João L. D. Comba, Univ. Federal do Rio Grande do Sul (Brazil)


Published in SPIE Proceedings Vol. 8294:
Visualization and Data Analysis 2012
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts, Editor(s)

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