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• W2074176412 abstract "The authors present the scalability analysis of a parallel fast Fourier transform (FFT) algorithm on mesh and hypercube connected multicomputers using the isoefficiency metric. The isoefficiency function of an algorithm architecture combination is defined as the rate at which the problem size should grow with the number of processors to maintain a fixed efficiency. It is shown that it is more cost-effective to implement the FFT algorithm on a hypercube rather than a mesh despite the fact that large scale meshes are cheaper to construct than large hypercubes. Although the scope of this work is limited to the Cooley-Tukey FFT algorithm on a few classes of architectures, the methodology can be used to study the performance of various FFT algorithms on a variety of architectures such as SIMD hypercube and mesh architectures and shared memory architecture.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
• W2074176412 created "2016-06-24" @default.
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• W2074176412 date "1993-01-01" @default.
• W2074176412 modified "2023-10-17" @default.
• W2074176412 title "The scalability of FFT on parallel computers" @default.
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• W2074176412 doi "https://doi.org/10.1109/71.238626" @default.
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