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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…
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…
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…