Fortran 90 2D Vectorized Fast Fourier Transform
Using a simple array as input, a 2-dimensional Fast Fourier Transform consists of two one-dimensional FFTs performed (for instance) on each line first, and on each column next. An important limitation in FFT computer applications dealing with large arrays is the fact that the algorithm is not well suited to parallelization, due to the huge amount of data that has to be transfered between computers. Since the transfers are proportional to the number of operations, network time soon becomes prominent when the number of processors is high. This program uses vectorization as an alternative to parallelization methods.
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|GPLv2orlater||Ted Teah||23 August 2006|
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This entry (in part or in whole) was last reviewed on 7 March 2017.
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