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GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Sarod Yatawatta, Sanaz Kazemi, Saleem Zaroubi
ASTRON, the Netherlands, Institute for Radio Astronomy, Postbus 2, 7990 AA, Dwingeloo, The Netherlands
Innovative parallal computiong (InPar 2012), 2012

@article{yatawatta2012gpu,

   title={GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration},

   author={Yatawatta, S. and Kazemi, S. and Zaroubi, S.},

   year={2012}

}

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We present the GPU based acceleration of two well known nonlinear optimization routines: Levenberg-Marquardt (LM) and Limited Memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) in radio interferometric calibration. Radio interferometric calibration is a heavily compute intensive operation where the same nonlinear optimization problem has to be solved over many time intervals, with different data. We achieve a speedup of about 3 times compared with conventional multi-core CPU based optimization by using GPU accelerated linear algebra routines (CULAtools,CUBLAS). We present details of our GPU accelerated optimization algorithms as well as timing comparisons with non-GPU based multi-core CPU routines.
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