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DADiSP

DADiSP Software Modules - FFT Acceleration

DADiSP/FFTXL accelerates FFT computations by using the Math Kernel Library from Intel. Speed improvements by a factor of two are common and prime factor FFTs (FFTs on series not a power of two in length) experience tremendous speed gains.

The MKL Library provides highly optimized Fourier transform routines tuned specifically to Intel processors to provide outstanding performance.

Simply install DADiSP/FFTXL and any routine that employs the FFT or IFFT function automatically benefits from accelerated computation.

Key Features

  • Simple Deployment - just Install and Run
  • 2x to 10x FFT speed improvements
  • Optimized performance on Intel Processors
  • Multi-threaded Execution for even Faster Execution on Multi-Core Systems
  • Speeds up any FFT based Analysis

FFT Acceleration Module

The Fourier Transform is a core analysis routine for a wide variety of technical applications, including signal processing, medical, geophysical, acoustic, statistics, image processing and many more.

The Discrete Fourier Transform, or DFT, converts discrete time domain data into discrete frequency domain data. Although discrete FFT Flow Diagram time data has a continuous Fourier transform, under proper conditions the DFT effectively samples the continuous transform to enable computer-based numeric processing of frequency domain data.

The Fast Fourier Transform, or FFT, exploits certain symmetries inherit to the DFT computation to produce the same result as the DFT but at greater speeds. The FFTXL module further accelerates DADiSP's built-in FFT function to deliver one of the fastest FFT computations possible.

Processor Tuned Performance

The FFTXL Module uses the finely tuned Math Kernel Library from Intel to FFTXL Speed Comparison take advantage of Intel architecture-based processors using the latest instruction sets, parallelism, and algorithms to yield a highly optimized FFT function. Performance gains of 2x to 10x over the standard built-in FFT function are acheived.

Simple Deployment

FFTXL is completely automatic, simply install the module and the FFT function immediately runs faster - no settings to change, no code to rewrite. In addition to the FFT function itself, any custom or built-in function that relies on the FFT experiences the same performance gain. FFTXL is a straightforward way to accelerate any FFT based data analysis.

Requirements

DADiSP/FFTXL requires DADiSP 6.5 B01 or higher. Contact us for information about updating your current version of DADiSP.

FFTXL FFT Acceleration Module

FFTXL automatically accelerates the computation of the FFT and IFFT functions. In addition, custom or built-in routines that make use of the FFT experience significant speed improvements. Below is a partial list of routines provided by DADiSP that benefit directly from the FFTXL Module. In addition, many of the functions provided by the DADiSP/Filters and DADiSP/AdvDSP modules also benefit from the speed optimizations offered by FFTXL.

FFT Based Functions
cceps Complex cepstrum
dct Discrete cosine transform
dct2 2D Discrete cosine transform
decilp Bandlimited decimation
facorr Auto-correlation function
facov Auto-covariance function
fcirconv Fast circular convolution
fconv Fast convolution
fdeconv Fast deconvolution
fft Fast Fourier Transform
fft2 2D Fast Fourier Transform
finteg Frequency domain integration
firsamp Frequency sampling filter design
fpadfilt Filtering with end padding
fxcorr Cross-correlation function
fxcov Cross-covariance function
fzinterp Interpolation by FFT zero insertion
grpdelay Group delay
hilb Hilbert transform
idct Inverse discrete cosine transform
idct2 2D Inverse discrete cosine transform
ifft Inverse Fast Fourier Transform
ifft2 2D Inverse Fast Fourier Transform
invpsd PSD to time series
nfft Zero pad or time aliased FFT
npsd Zero pad or time aliased PSD
nspectrum Zero pad or time aliased spectrum
powspec Power spectrum
psd Power spectral density
specgram Joint time-frequency spectum
sfreq S transform evaluation
spectrum Normalized FFT magnitude
rceps Real cepstrum
zfreq Z transform evaluation


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