Abstract
It is known that a multidimensional FFT with prime edge-length p and linear symmetries in its inputs, given by a matrix S, can be computed efficiently in terms of cyclic convolutions by determining a nonsingular matrix M that commutes with S and that minimizes the number of MS-orbits. To date the only known method for determining such an M is by exhaustion, which takes time O(p 6) in the two-dimensional case and time O(p 12) in the three-dimensional case. In this work we study methods for determining M directly. Our results include algorithms which, assuming the availability of primitive polynomials, compute M in time O(p) in the two-dimensional and, in a special three-dimensional case that is important for crystallographers. Furthermore, also assuming the availability of primitive polynomials of degree three, we give an O(p 3) time algorithm to compute the M-minimal three-dimensional case.
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Orozco, E., Bollman, D. (2004). Optimizing Symmetric FFTs with Prime Edge-Length. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_78
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DOI: https://doi.org/10.1007/978-3-540-24767-8_78
Publisher Name: Springer, Berlin, Heidelberg
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