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Programming video cards for computational electromagnetics applications

M. J. Inman, A. Z. Elsherbeni
Electr. Eng. Dept., Univ. of Mississippi, University, MS
Antennas and Propagation Magazine, IEEE In Antennas and Propagation Magazine, IEEE, Vol. 47, No. 6. (2005), pp. 71-78

@article{inman2006programming,

   title={Programming video cards for computational electromagnetics applications},

   author={Inman, M.J. and Elsherbeni, A.Z.},

   journal={Antennas and Propagation Magazine, IEEE},

   volume={47},

   number={6},

   pages={71–78},

   issn={1045-9243},

   year={2006},

   publisher={IEEE}

}

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Recently, programming tools have become available to researchers and scientists that allow the use of video cards for general-purpose calculations in computational electromagnetics applications. Over the past few years, developments in the field of graphic processing units (GPUs) for video cards have vastly outpaced their general central processing unit (CPU) counterparts. As specifically applied to vector mathematic operations, the newest generation GPUs can generally outperform current CPU architecture by a wide margin. With the addition of large onboard memory units with significantly higher memory bandwidth than those found in the main system, graphic cards can be utilized as a highly efficient vector mathematic coprocessor. In the past, this power has been harnessed by writing low-level assembly code for the video cards. Recently, new tools have become available to make programming possible in high-level languages. By formulating proper procedures to realize general vector computations on the GPU, it will be possible to increase the processing power available by at least an order of magnitude compared to the current generation of CPUs.
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