The finite-difference time dimension (FDTD) method for simulating computational electromagnetism is considered the simplest and most efficient way to model the effects of electromagnetism on a certain material or object. The most commercial use of the FDTD model is in mobile communication systems, which makes use of radio frequencies, so engineers have to be able to project how the device will most likely operate in the real world by running simulations. Another application for FDTD is in fiber optics, which is also a technology that relates to communication, and there is an increasing interest in its use in nanotechnology. In a very real way, the FDTD method is used to design and improve the mobile and fixed communication technology we have today.
In terms of scalability, the FDTD method proves robust, merely requiring additional time to do the computation with no changes in the formula. However, while it is a relatively simple method, it requires fine grids to develop a model. FDTD does require a lot of computations which increase exponentially with the number of elements. In order to do an FDTD model, one will require a powerful computer with a lot of memory. It is recommended that a computer running a graphical processing unit (GPU) processor, which is specifically designed to handle large amounts of graphical data in parallel, which is exactly what is needed. How long it takes to complete a simulation will depend on the number of elements in an FDTD simulation and processing speed of the computer. In general, an FDTD model requires 30 bytes of memory per Yee cell and 80 operations per cell, per time step.Read More