MEX files are a powerful feature in MATLAB that allow you to call C, C++, or Fortran code directly from MATLAB. These files act as dynamic link libraries, enabling seamless integration of compiled code with MATLAB's interpreted environment.
MEX (MATLAB Executable) files are dynamically linked subroutines that you can call from MATLAB just like built-in functions. They provide a way to extend MATLAB's capabilities by incorporating external code, often resulting in significant performance improvements for computationally intensive tasks.
To create a MEX file, you need to follow these general steps:
#include "mex.h"
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
double *in, *out;
size_t n;
/* Check inputs and outputs */
if (nrhs != 1 || nlhs > 1)
mexErrMsgTxt("Usage: y = myMEXFunction(x)");
/* Get input array */
in = mxGetPr(prhs[0]);
n = mxGetNumberOfElements(prhs[0]);
/* Create output array */
plhs[0] = mxCreateDoubleMatrix(1, n, mxREAL);
out = mxGetPr(plhs[0]);
/* Perform operation (e.g., multiply by 2) */
for (size_t i = 0; i < n; i++)
out[i] = 2 * in[i];
}
After compiling this code, you can call it from MATLAB like any other function:
x = 1:5;
y = myMEXFunction(x);
disp(y); % Output: 2 4 6 8 10
Use the mex
command in MATLAB to compile your C/C++ code into a MEX file:
mex myMEXFunction.c
mexErrMsgTxt()
MEX files seamlessly integrate with MATLAB's environment. They can be called like any other MATLAB function, accept MATLAB data types as input, and return results in MATLAB-compatible formats. This integration allows for efficient MATLAB and C/C++ Integration, combining the ease of use of MATLAB with the performance of compiled languages.
While MEX files can significantly improve performance, it's important to profile your code to identify bottlenecks. Not all operations benefit from MEX implementation. Use MATLAB's MATLAB Profiler to determine where MEX files will provide the most benefit.
MATLAB MEX files offer a powerful way to extend MATLAB's capabilities and improve performance for computationally intensive tasks. By understanding how to create, compile, and use MEX files, you can leverage the strengths of both MATLAB and C/C++ in your projects.