On the communication complexity of the discrete Fourier transform
Sivan Toledo · IEEE Signal Processing Letters · 1996
The communication complexity of a linear transformation is the number of scalars which must be transferred between two processors, each of which holds half the input vector in order to perform the transformation such that each processor holds half the output vector. This letter shows that the communication complexity of the the discrete Fourier transform of size n is at most n/2. That is, given a suitable partition of the input and output vectors, only n/4 complex numbers must be sent in each direction. In contrast, fast Fourier transform (FFT) algorithms transfer at least n/2 complex numbers in each direction.