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- W4297690158 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." @default.
- W4297690158 created "2022-09-30" @default.
- W4297690158 creator A5028035396 @default.
- W4297690158 date "2011-11-21" @default.
- W4297690158 modified "2023-09-26" @default.
- W4297690158 title "Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters" @default.
- W4297690158 doi "https://doi.org/10.48550/arxiv.1111.5081" @default.
- W4297690158 hasPublicationYear "2011" @default.
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