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A high performance FFT library with single instruction multiple data (SIMD) architecture

Authors: Wang Xu; Zhang Yan; Ding Shunying;

A high performance FFT library with single instruction multiple data (SIMD) architecture

Abstract

Fast Fourier Transform (FFT) is the basis of Digital Signal Processing (DSP). In this paper, a high performance FFT library using radix-2 decimation in frequency (DIF) algorithm is presented which is well suited for SIMD architecture. SIMD architecture microprocessors, such as Intel and AMD, allow parallel floating point operations on contiguous data in memory. A 128-point FFT based radix-2 DIF algorithm is implemented on the Intel architecture. All arithmetic operations in FFT are optimized by SSE assembly. Twiddle factors and binary reverse array are also optimized for SIMD architecture. The library is implemented using C and Intel Streaming SIMD Extensions (SSE) assembly instructions. The performance comparison with Fastest Fourier Transform in the West (FFTW) library shows that the proposed FFT library is faster.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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