@inproceedings{b7f513834bd541f2aead41ba3a5fa279,
title = "GPU accelerated nonlinear optimization in radio interferometric calibration",
abstract = "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.",
author = "Sarod Yatawatta and Sanaz Kazemi and Saleem Zaroubi",
year = "2012",
doi = "https://doi.org/10.1109/InPar.2012.6339610",
language = "الإنجليزيّة",
isbn = "9781467326322",
series = "2012 Innovative Parallel Computing, InPar 2012",
booktitle = "2012 Innovative Parallel Computing, InPar 2012",
note = "2012 Innovative Parallel Computing, InPar 2012 ; Conference date: 13-05-2012 Through 14-05-2012",
}