@danyvohl Dany Vohl | GPU2016 | Sources: MaNGA, Marc White (RSSA-ANU) & ASKAP Spectral cube • Challenges with astronomical data • Low signal-to-noise ratio • High dynamic range • Data cubes are getting bigger
Sept. 2016 0th moment (CO + HI) 1st moment (CO + HI) NGC 5457 Meidt, Rand & Merrifield, 2009. ApJ. doi:10.1088/0004-637X/702/1/277 overall gas distribution gas velocity field
Sept. 2016 Rendered the whole southern sky from 387 cubes (HIPASS survey) Data from Russell Jurek, ATNF 2013 : Hassan, Fluke, Barnes & Kilborn (Swinburne University of Technology) 3D Visualisation with GraphTIVA • 96 GPUs cluster • 0.5 TB Cube • 7–10 frames per second
GPU2016 | 0th moment (CO + HI) 1st moment (CO + HI) NGC 5457 Meidt, Rand & Merrifield, 2009. ApJ. doi:10.1088/0004-637X/702/1/277 overall gas distribution gas velocity field
Sept. 2016 Vohl, D., et al. 2016a, PeerJ Computer Science. In press. Vohl, D., Fluke, C. J., Hassan, A. H., & Barnes, D. G. 2016b, in Astronomical Data Analysis Software and Systems XXV, Astronomical Society of the Pacific Conference Series. In press.
good for fast and high quality visualisation • Utilise GPU to create intuitive visualisation for astronomers • Integrate into encube in CAVE2 • Now, time to put in hands of astronomers 26