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GPU accelerated radio astronomy signal convolution

Chris Harris, Karen Haines, Lister Staveley-Smith
The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia
Experimental Astronomy, Vol. 22, No. 1. (1 October 2008), pp. 129-141

@article{harris2008gpu,

   title={GPU accelerated radio astronomy signal convolution},

   author={Harris, C. and Haines, K. and Staveley-Smith, L.},

   journal={Experimental Astronomy},

   volume={22},

   number={1},

   pages={129–141},

   issn={0922-6435},

   year={2008},

   publisher={Springer}

}

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The increasing array size of radio astronomy interferometers is causing the associated computation to scale quadratically with the number of array signals. Consequently, efficient usage of alternate processing architectures should be explored in order to meet this computational challenge. Affordable parallel processors have been made available to the general scientific community in the form of the commodity graphics card. This work investigates the use of the Graphics Processing Unit in the parallelisation of the combined conjugate multiply and accumulation stage of a correlator for a radio astronomy array. Using NVIDIA
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