230 citations · 1.4k across the 49 of their papers we have counts for
9 papers · 2 filters
Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes
A. H. Hassan, C. J. Fluke, D. G. Barnes
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 f…
Visualisation and Analysis Challenges for WALLABY
Christopher J. Fluke, David G. Barnes, Amr H. Hassan
Visualisation and analysis of terabyte-scale datacubes, as will be produced with the Australian Square Kilometre Array Pathfinder (ASKAP), will pose challenges for existing astrono…
Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters
Christopher J. Fluke, David G. Barnes, Benjamin R. Barsdell +1
General purpose computing on graphics processing units (GPGPU) is dramatically changing the landscape of high performance computing in astronomy. In this paper, we identify and inv…
Interactive Visualization of the Largest Radioastronomy Cubes
A. H. Hassan, C. J. Fluke, D. G. Barnes
3D visualization is an important data analysis and knowledge discovery tool, however, interactive visualization of large 3D astronomical datasets poses a challenge for many existin…
Analysing Astronomy Algorithms for GPUs and Beyond
Benjamin R. Barsdell, David G. Barnes, Christopher J. Fluke
Astronomy depends on ever increasing computing power. Processor clock-rates have plateaued, and increased performance is now appearing in the form of additional processor cores on…
Computational advances in gravitational microlensing: a comparison of CPU, GPU, and parallel, large data codes
N. F. Bate, C. J. Fluke, B. R. Barsdell +2
To assess how future progress in gravitational microlensing computation at high optical depth will rely on both hardware and software solutions, we compare a direct inverse ray-sho…
GPU-Based Volume Rendering of Noisy Multi-Spectral Astronomical Data
Amr H. Hassan, Christopher J. Fluke, David G. Barnes
Traditional analysis techniques may not be sufficient for astronomers to make the best use of the data sets that current and future instruments, such as the Square Kilometre Array…
Advanced Architectures for Astrophysical Supercomputing
Benjamin R. Barsdell, David G. Barnes, Christopher J. Fluke
Astronomers have come to rely on the increasing performance of computers to reduce, analyze, simulate and visualize their data. In this environment, faster computation can mean mor…
Visualization-Directed Interactive Model-Fitting to Spectral Data Cubes
Christopher J. Fluke, Jayanne English, David G. Barnes
Spectral datasets obtained at radio frequencies and optical/IR wavelengths are increasing in complexity as new facilities and instruments come online, resulting in an increased nee…