5 research outputs found
Interactive Visualization of the Largest Radioastronomy Cubes
3D visualization is an important data analysis and knowledge discovery tool,
however, interactive visualization of large 3D astronomical datasets poses a
challenge for many existing data visualization packages. We present a solution
to interactively visualize larger-than-memory 3D astronomical data cubes by
utilizing a heterogeneous cluster of CPUs and GPUs. The system partitions the
data volume into smaller sub-volumes that are distributed over the rendering
workstations. A GPU-based ray casting volume rendering is performed to generate
images for each sub-volume, which are composited to generate the whole volume
output, and returned to the user. Datasets including the HI Parkes All Sky
Survey (HIPASS - 12 GB) southern sky and the Galactic All Sky Survey (GASS - 26
GB) data cubes were used to demonstrate our framework's performance. The
framework can render the GASS data cube with a maximum render time < 0.3 second
with 1024 x 1024 pixels output resolution using 3 rendering workstations and 8
GPUs. Our framework will scale to visualize larger datasets, even of Terabyte
order, if proper hardware infrastructure is available.Comment: 15 pages, 12 figures, Accepted New Astronomy July 201
Visualisation and Analysis Challenges for WALLABY
Visualisation and analysis of terabyte-scale datacubes, as will be produced
with the Australian Square Kilometre Array Pathfinder (ASKAP), will pose
challenges for existing astronomy software and the work practices of
astronomers. Focusing on the proposed outcomes of WALLABY (Widefield ASKAP
L-Band Legacy All-Sky Blind Survey), and using lessons learnt from HIPASS (HI
Parkes All Sky Survey), we identify issues that astronomers will face with
WALLABY data cubes. We comment on potential research directions and possible
solutions to these challenges.Comment: 6 pages, accepted for publication in Proceedings of the Sixth IEEE
International Conference on e-Science Workshops (Brisbane, Australia,
December 2010
Creating a Sample of Off-Color Galaxies Using Big Data Tools
This thesis begins an investigation into the presence of off-colored galaxies in the Sloan Digital Sky Survey. Through establishing the emergence and history of Astroinformatics, the thesis introduces the concepts surrounding both off-color galaxies and the Big Data tools helpful in analyzing the data to find them. A discussion of initial implementation methods and revised implementation due to difficulties with previous plans follows. Results are presented, with well in excess of 500,000 candidates for off-color galaxies present in the sample. Conclusions are then drawn regarding such a large sample and the implications this may have on the conventional understanding of galaxies. Future work and improvements to the project are discussed at length in the closing section
A Distributed GPU-based Framework for real-time 3D Volume Rendering of Large Astronomical Data Cubes
We present a framework to interactively volume-render three-dimensional data
cubes using distributed ray-casting and volume bricking over a cluster of
workstations powered by one or more graphics processing units (GPUs) and a
multi-core CPU. The main design target for this framework is to provide an
in-core visualization solution able to provide three-dimensional interactive
views of terabyte-sized data cubes. We tested the presented framework using a
computing cluster comprising 64 nodes with a total of 128 GPUs. The framework
proved to be scalable to render a 204 GB data cube with an average of 30 frames
per second. Our performance analyses also compare between using NVIDIA Tesla
1060 and 2050 GPU architectures and the effect of increasing the visualization
output resolution on the rendering performance. Although our initial focus, and
the examples presented in this work, is volume rendering of spectral data cubes
from radio astronomy, we contend that our approach has applicability to other
disciplines where close to real-time volume rendering of terabyte-order 3D data
sets is a requirement.Comment: 13 Pages, 7 figures, has been accepted for publication in
Publications of the Astronomical Society of Australi