Superparallel FFTs

Fast Fourier transform (FFT) algorithms for single instruction multiple data (SIMD) machines are developed which simultaneously solve any combination of FFTs of different sizes and even different spatial dimensionalities. The only restrictions are that all the periods must be powers of two and that...

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Vydáno v:SIAM journal on scientific computing Ročník 14; číslo 2; s. 349 - 367
Hlavní autor: Munthe-Kaas, Hans
Médium: Journal Article
Jazyk:angličtina
Vydáno: Philadelphia, PA Society for Industrial and Applied Mathematics 01.03.1993
Témata:
Algorithms
Codes
Exact sciences and technology
Fourier analysis
Fourier transforms
Mathematical problems
Mathematics
Numerical analysis
Numerical analysis. Scientific computation
Sciences and techniques of general use
SIMD computer
Parallel computation
Fast Fourier transformation
Unscrambling
Factorization
Implementation
ISSN:1064-8275, 1095-7197
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Shrnutí:Fast Fourier transform (FFT) algorithms for single instruction multiple data (SIMD) machines are developed which simultaneously solve any combination of FFTs of different sizes and even different spatial dimensionalities. The only restrictions are that all the periods must be powers of two and that the initial data must satisfy some alignment requirements with the address space in the computer. The degree of parallelism is equal to the sum of the sizes of all the subproblems and the (parallel) solution time is proportional to $\log _2 (m)$, where $m$ is the number of points in the largest subsystem. It is shown that the task of unscrambling the data can be both executed and scheduled efficiently in parallel. Finally, implementations on the MasPar computer are described. The codes can be quickly and easily employed in solving complicated problems, and the interface for the routines may therefore be interesting for sequential FFT codes as well.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:1064-8275
1095-7197
DOI:10.1137/0914022