arXiv · 1111.5081
Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters
Abstract
In recent years, the Graphics Processing Unit (GPU) has emerged as a low-cost alternative for high performance computing, enabling impressive speed-ups for a range of scientific computing applications. Early adopters in astronomy are already benefiting in adapting their codes to take advantage of the GPU's massively parallel processing paradigm. I give an introduction to, and overview of, the use of GPUs in astronomy to date, highlighting the adoption and application trends from the first ~100 GPU-related publications in astronomy. I discuss the opportunities and challenges of utilising GPU computing clusters, such as the new Australian GPU supercomputer, gSTAR, for accelerating the rate of astronomical discovery.
Explore related subjects
Keep this discovery
Christopher J. Fluke. 2011-11-22. Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters. https://arxiv.org/abs/1111.5081
Cite the original work for its findings. Save a collection to share your selection of sources.