Synchronize Multithreaded FFTW Planning in Code Generated from a MATLAB Function Block - MATLAB & Simulink (original) (raw)

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This example shows how to generate code that synchronizes multithreaded access to the FFTW planning process for FFTW library calls in code generated from aMATLAB Function block.

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

• A MATLAB Function block calls one of these functions:fft, fft2, fftn, ifft, ifft2, or ifftn.
• You generate C/C++ code for a model that includes the MATLAB Function block.
• 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 Custom FFT library callback configuration parameter to the name of the callback class.

If you integrate the code that contains the FFTW calls with external code that runs on multiple threads, then you must prevent concurrent access to the FFTW planning process. 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.

Prerequisites

Before you start, for the basic workflow for generating FFTW library calls for fast Fourier transforms in a MATLAB Function block, see Speed Up Fast Fourier Transforms in Code Generated from a MATLAB Function Block.

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 Model with a MATLAB Function Block That Calls an FFT Function

1. Create a Simulink® model and add a MATLAB Function block to it.
2. Add this code to the MATLAB Function block.
   function y = mycustomfft()
   t = 0:1/50:10-1/50;
   x = sin(2pi15t) + sin(2pi20t);
   y = fft(x);
   for k = 1:100
   y = y + ifft(x+k);
   end
3. Add an outport block and connect it to the MATLAB Function block.
   

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)
{
omp_init_nest_lock(&lockVar);
}
void mylock(void)
{
omp_set_nest_lock(&lockVar);
}
void myunlock(void)
{
omp_unset_nest_lock(&lockVar);
}

• Create a header file mylock.h that contains:

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

Create 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
        coder.inline('always');
        th = int32(coder.const(1));
    end
    
    function lock()
        coder.cinclude('mylock.h', 'InAllSourceFiles', true);
        coder.inline('always');
        coder.ceval('mylock');
    end
    
    function unlock()
        coder.cinclude('mylock.h', 'InAllSourceFiles', true);
        coder.inline('always');
        coder.ceval('myunlock');
    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

Configure Code Generation Parameters and Build the Model

1. Configure code generation to use the FFTW callback class and the C code called by the lock and unlock methods. Configure code generation to generate a call tomylock_initialize in the initialization code.
   In the Configuration Parameters dialog box:
   • Set Custom FFT library callback tomyfftcb.
   • In , under Additional build information, set Source files to mylock.c.
   • In , under Insert custom C code in generated, set Initialize function tomylock_initialize();.
2. Build the model.

See Also

coder.fftw.StandaloneFFTW3Interface

Topics

• Speed Up Fast Fourier Transforms in Code Generated from a MATLAB Function Block

External Websites

• www.fftw.org