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Synchronize Multithreaded Access to FFTW Planning in Generated Standalone Code

This example shows how to generate standalone code (static library, dynamically linked library, or executable program) that synchronizes multithreaded access to the FFTW planning process.

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.

If multiple threads call the FFTW library, then the generated code must prevent concurrent access to the FFTW planning process. To synchronize access to FFTW planning, in your FFT library callback class, implement the lock and unlock methods. You must also provide C code that manages a lock or mutex. Many libraries, such as OpenMP, pthreads, and the C++ standard library (C++ 11 and later) provide locks. This example shows how to implement the lock and unlock methods and provide supporting C code. To manage a lock, this example uses the OpenMP library.


Before you start, for the basic workflow for generating FFTW library calls in standalone code, see Speed Up Fast Fourier Transforms in Generated Standalone Code by Using FFTW Library Calls.

You must have:

  • Access to an installed FFTW library.

  • A compiler that supports the OpenMP library. To use a different library, such as pthreads, modify the supporting C code accordingly.

Create a MATLAB Function

Write a MATLAB function mycustomfft that calls a fast Fourier transform function inside a parfor loop:

function y  = mycustomfft()

t = 0:1/50:10-1/50;
x = sin(2*pi*15*t) + sin(2*pi*20*t);
y = fft(x);
parfor k = 1:100
    y = y + ifft(x+k);

Write Supporting C Code

Write C functions that initialize, set, and unset a lock. This example uses the OpenMP library to manage the lock. For a different library, modify the code accordingly.

  • Create a file mylock.c that contains this C code:

    #include "mylock.h"
    #include "omp.h"
    static omp_nest_lock_t lockVar;
    void mylock_initialize(void)
    void mylock(void)
    void myunlock(void)

  • Create a header file mylock.h that contains:

    #ifndef MYLOCK_H
    #define MYLOCK_H
     void mylock_initialize(void);
     void mylock(void);
     void myunlock(void);

Write an FFT Library Callback Class

Write an FFT callback class myfftcb that:

  • Specifies the FFTW library.

  • Implements lock and unlock methods that call the supporting C code to control access to the FFTW planning.

Use this class as a template. Replace fftwLocation with the location of your FFTW library installation.

classdef myfftcb < coder.fftw.StandaloneFFTW3Interface
    methods (Static)
        function th = getNumThreads
            th = int32(coder.const(1));
        function lock()
            coder.cinclude('mylock.h', 'InAllSourceFiles', true);
        function unlock()
            coder.cinclude('mylock.h', 'InAllSourceFiles', true);
        function updateBuildInfo(buildInfo, ctx)
            fftwLocation = '\usr\lib\fftw';
            includePath = fullfile(fftwLocation, 'include');
            libPath = fullfile(fftwLocation, 'lib');
            libName1 = 'libfftw3-3';
            [~, libExt] = ctx.getStdLibInfo();
            libName1 = [libName1 libExt];
            addLinkObjects(buildInfo, libName1, libPath, 1000, true, true);
            libName2 = 'libfftw3f-3';
            [~, libExt] = ctx.getStdLibInfo();
            libName2 = [libName2 libExt];
            addLinkObjects(buildInfo, libName2, libPath, 1000, true, true);

Generate a Dynamically Linked Library

  1. Create a code generation configuration object for generation of a dynamically linked library.

    cfg = coder.config('dll');

  2. Configure code generation to use the FFT callback class myfftcb.

    cfg.CustomFFTCallback = 'myfftcb';
  3. Include the supporting C code in the build.

    cfg.CustomSource = 'mylock.c';

  4. Generate a call to the lock initialization function in the initialization code.

    cfg.CustomInitializer = 'mylock_initialize();';

  5. Generate the library.

    codegen -config cfg mycustomfft -report
    This example uses the OpenMP library. Therefore, the EnableOpenMP configuration parameter must be true or you must manually pass the OpenMP flags to your compiler. By default, the EnableOpenMP parameter is true.

Specify Configuration Parameters in the MATLAB Coder App

For the preceding example in the MATLAB Coder app, use these project settings:

  • To specify the FFT library callback class, set Custom FFT library callback to myfftcb.

  • To specify the C code to include, set Additional source files to mylock.c.

  • To specify generation of a call to mylock_initialize in the initialization code, set Initialize function to mylock_initialize();.

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