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| Paper: |
Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes |
| Volume: |
442, Astronomical Data Analysis Software and Systems XX (ADASSXX) |
| Page: |
207 |
| Authors: |
Hassan, A. H.; Fluke, C. J.; Barnes, D. G. |
| Abstract: |
The Australian SKA Pathfinder (ASKAP) will be producing 2.2 terabyte HI
spectral-line cubes for each 8 hours of observation by 2013. Global views
of spectral data cubes are vital for the detection of instrumentation
errors, the identification of data artifacts and noise characteristics,
and the discovery of strange phenomena, unexpected relations, or unknown
patterns. We have previously presented the first framework that can render
ASKAP-sized cubes at interactive frame rates. The framework provides the
user with a real-time interactive volume rendering by combining shared
and distributed memory architectures, distributed CPUs and graphics
processing units (GPUs), using the ray-casting algorithm.
In this paper we present two main extensions of this framework which
are: using a multi-panel display system to provide a high resolution
rendering output, and the ability to integrate automated data analysis
tools into the visualization output and to interact with its output in place. |
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