A parallel FFT on an MIMD machine

Amir Averbuch*, Eran Gabber, Boaz Gordissky, Yoav Medan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

In this paper we present a parallelization of the Cooley- Tukey FFT algorithm that is implemented on a shared-memory MIMD (non-vector) machine that was built in the Dept. of Computer Science, Tel Aviv University. A parallel algorithm is presented for one dimension Fourier transform with performance analysis. For a large array of complex numbers to be transformed, an almost linear speed-up is demonstrated. This algorithm can be executed by any number of processors, but generally the number is much less than the length of the input data.

Original languageEnglish
Pages (from-to)61-74
Number of pages14
JournalParallel Computing
Volume15
Issue number1-3
DOIs
StatePublished - Sep 1990

Funding

FundersFunder number
Basic Research Foundation
Israeli Academy of Sciences
National Semiconductor, Israel

    Keywords

    • Parallel FFT
    • Parallel algorithm
    • Shared-memory MIMD machine

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