GPUs are cost-effective solutions for hardware acceleration of the FDTD algorithm. The acceleration of FDTD on GPUs has made the algorithm more available and affordable with endless possible applications. Hardware acceleration has brought the power of supercomputing to the desktop.
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Ong et al. (2010) studied this question.
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