Paper Info
Title
Distributed Visual Analytics on Large-Scale High-Resolution Displays
Abstract
Large-scale high-resolution displays are becoming increasingly available and have thus been the target of recent research. Such systems are usually driven by a graphics cluster, making software development a tedious endeavor; this might be the reason why it is uncommon to use them for interactive information visualization and visual analytics. However, this application area can particularly benefit from a large number of pixels. Therefore, we investigate distributed GPU-based rendering for visual analytics on a multi-tile large-scale display offering high resolution. We discuss conceptual differences and commonalities between information and scientific visualization on high-resolution displays. The requirements of high-resolution information visualization result in design choices for a software architecture for distributed GPU rendering. We illustrate our system for the example of a fractal tree visualization technique and report on performance characteristics and other experiences.
Year
DOI
Venue
2015
10.1109/BDVA.2015.7314291
2015 Big Data Visual Analytics (BDVA)
Keywords
Field
DocType
distributed visual analytics,large-scale high-resolution displays,graphics cluster,software development,interactive information visualization,visual analytics,distributed GPU-based rendering,multitile large-scale display,information visualization,scientific visualization,high-resolution information visualization,software architecture,fractal tree visualization technique,performance characteristics
Parallel rendering,Information visualization,Visualization,Computer science,Visual analytics,Interactive visual analysis,Interactive visualization,Human–computer interaction,Software visualization,Scientific visualization,Multimedia
Conference
Citations 
PageRank 
References 
1
0.35
16
Authors
4
Name
Order
Citations
PageRank
Hansjörg Schmauder1505.16
Michael Burch285466.47
Christoph Müller314712.84
Daniel Weiskopf42988204.30