Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters

Christopher Fluke (Swinburne University of Technology)


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 massive parallelism available with GPU architecture. In this talk, I will give an introduction to, and overview of, the use of GPUs in astronomy. Using early experiences gained with the new Australian GPU supercomputer, gSTAR, I will discuss the opportunities and challenges of utilizing GPU computing clusters in accelerating the rate of astronomical discovery.

Slides in PDF format

Paper ID: I05

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