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Speed Up Fast Fourier Transforms in Generated Standalone Code by Using FFTW Library Calls

This example shows how to produce calls to a specific installed FFTW library when you generate standalone code (static library, dynamically linked library, or executable program). For more information about FFTW, see www.fftw.org.

When you generate a MEX function from MATLAB® code that includes fast Fourier transform (FFT) functions, the code generator uses the library that MATLAB uses for FFT algorithms. If you generate standalone C/C++ code, by default, the code generator produces code for the FFT algorithms instead of producing FFT library calls. To increase the speed of fast Fourier transforms in generated standalone code, specify that the code generator produce calls to a specific installed FFTW library.

The code generator produces FFTW library calls when all of these conditions are true:

  • Your MATLAB code calls one of these functions:fft, fft2, fftn, ifft, ifft2, or ifftn.

  • You generate standalone C/C++ code.

  • You have access to an FFTW library installation, version 3.2 or later.

  • You specify the FFTW library installation in an FFT library callback class that derives from coder.fftw.StandaloneFFTW3Interface.

  • You set the CustomFFTCallback configuration parameter to the name of the callback class. In the MATLAB Coder™ app, use the Custom FFT library callback setting.

Install FFTW Library

If you do not have access to an installed FFTW library, version 3.2 or later, then you must install one. For a Linux® platform or a Mac platform, consider using a package manager to install the FFTW library. For a Windows® platform, in addition to .dll files, you must have .lib import libraries, as described in the Windows installation notes on the FFTW website.

See the installation instructions for your platform on the FFTW website.

Write an FFT Callback Class

To specify your installation of the FFTW library, write an FFT callback class. Share the callback class with others who want to use this FFTW library for FFTW calls in standalone code.

The callback class must derive from the abstract class coder.fftw.StandaloneFFTW3Interface. Use this example callback class as a template.

% copyright 2017 The MathWorks, Inc.

classdef useMyFFTW < coder.fftw.StandaloneFFTW3Interface
     
    methods (Static)
        function th = getNumThreads
            coder.inline('always');
            th = int32(coder.const(1));
        end
                
        function updateBuildInfo(buildInfo, ctx)
            fftwLocation = '/usr/lib/fftw';
            includePath = fullfile(fftwLocation, 'include');
            buildInfo.addIncludePaths(includePath);
            libPath = fullfile(fftwLocation, 'lib');
            
            %Double
            libName1 = 'libfftw3-3';
            [~, libExt] = ctx.getStdLibInfo();
            libName1 = [libName1 libExt];
            addLinkObjects(buildInfo, libName1, libPath, 1000, true, true);
            
            %Single
             libName2 = 'libfftw3f-3';
            [~, libExt] = ctx.getStdLibInfo();
            libName2 = [libName2 libExt];
            addLinkObjects(buildInfo, libName2, libPath, 1000, true, true);
        end
    end           
end

Implement the updateBuildInfo and getNumThreads methods. In the updateBuildInfo method, set fftwLocation to the full path for your installation of the library. Set includePath to the full path of the folder that contains fftw3.h. Set libPath to the full path of the folder that contains the library files. If your FFTW installation uses multiple threads, modify the getNumThreads method to return the number of threads that you want to use.

Optionally, you can implement these methods:

Generate FFTW Library Calls by Specifying an FFT Library Callback Class

To generate FFTW library calls in standalone C code:

  1. Write a MATLAB function that calls a MATLAB fast Fourier transform function. For example, write a function myfft that calls the MATLAB function fft.

    function y = myfft()
    %#codegen
    t = 0:1/50:10-1/50;                     
    x = sin(2*pi*15*t) + sin(2*pi*20*t);
    y = fft(x);         
    end

  2. Define a code generation configuration object for a static library, dynamically linked library, or executable program. For example, define a configuration object for a dynamically linked library.

    cfg = coder.config('dll');

  3. Specify the FFTW callback class useMyFFTW.

    cfg.CustomFFTCallback = 'useMyFFTW';

    The callback class must be on the MATLAB path.

  4. Generate code.

    codegen myfft -config cfg -report

Locate FFTW Library in Execution Environment

The FFTW library must be available in your execution environment. If the FFTW library is shared, use environment variables or linker options to specify the location of the library.

  • On a Windows platform, modify the PATH environment variable.

  • On a Linux platform, modify the LD_LIBRARY_PATH environment variable or use the rpath linker option.

  • On a macOS platform, modify the DYLD_LIBRARY_PATH environment variable or use the rpath linker option.

To specify the rpath linker option, you can use the build information addLinkFlags method in the updateBuildInfo method of your coder.fftw.StandaloneFFTW3Interface class. For example, for a GCC compiler:

buildInfo.addLinkFlags(sprintf('-Wl,-rpath,"%s"',libPath));

See Also

Related Topics

External Websites