GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration
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}
}
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.
August 26, 2012 by hgpu
