Time complexity modeling and comparison of parallel architectures for Fourier transform oriented algorithms

Abstract

A technique for modeling the time-domain complexity of the implementation of an algorithm is described. The model includes algorithm-, architecture-, and technology-related parameters. The model is used here to compare architectures for various Fourier-transform-oriented algorithms; however, use of the model can point to possible changes in algorithm or architecture that will increase performance. The development of the model is discussed, and an analysis of five different Fourier-transform algorithms is given.<>