Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes

Details Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes

2010-12-14

arxiv.org/abs/1012.2909v1

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

4 Pages, 2 figures, to Appear in ADASS XX Conference Proceedings

Scientific paper

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 artefacts 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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