@inproceedings{c9c08a4ac8404573a8209d1f6a3514b7,
title = "Parallel large data Visualization with display Walls",
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 singleworkstation, 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.",
keywords = "Display Walls, Visualization pipelines",
author = "Luiz Scheidegger and Vo, {Huy T.} and Jens Kr{\"u}ger and Silva, {Cl{\'a}udio T.} and Comba, {Jo{\~a}o L D}",
year = "2012",
doi = "10.1117/12.912032",
language = "English (US)",
isbn = "9780819489418",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2012",
note = "Visualization and Data Analysis 2012 ; Conference date: 23-01-2012 Through 25-01-2012",
}