When using MATLAB 7.4 (R2007a) via the Engine interface, you can perform an "engEvalString" of the MATLAB command "feature('NumThreads',n)" to enable multithreaded computation and to set the number of computation threads to the integer "n".
If you run MATLAB on a multiple-CPU system (multiprocessor or multicore),
you can use multithreaded computation, which can improve performance for some
operations. MATLAB can take advantage of multithreading capabilities for element-wise numerical computations such as "sin" and "log", and BLAS (Basic Linear Algebra Subroutines) library computations such as matrix multiply.
The following C++ code demonstrates using the MATLAB 7.4 (R2007a) engine interface and enable multithreaded computation:
// matopen.cpp : Defines the entry point for the console application.
//#include <stdio.h>
#include <iostream>
#include "engine.h"
using namespace std;
class EngineOpen
{
public:
EngineOpen();
virtual ~EngineOpen();
int Command();
protected:
engine *ep;
};
EngineOpen::EngineOpen()
{
cout << "starting engine" << endl;
if( !(ep = engOpen("\0")) )
cout << "Unable to start MATLAB!" << endl;
else
cerr << "engine started" << endl;
}
EngineOpen::~EngineOpen()
{
engClose(ep);
}
int EngineOpen::Command()
{
//Set number of
engEvalString(ep, "feature('NumThreads',feature('NumCores'))");
//Evaluate a numerical expression
engEvalString(ep, "surf(rand(10,10))");
return -2;
}
int main(int argv, char** argc)
{
EngineOpen eng;
eng.Command();
}
You can build and run this example in MATLAB
And select a supported C++ compiler.
optsfile = [matlabroot '\bin\win32\mexopts\msvc80engmatopts.bat'];
mex('-f', optsfile, 'matopen.cpp' )
system(matopen.exe)
You can experiment by increasing the number of threads if you have a machine with more CPUs. Note that, because MATLAB code has some additional first-time running costs (due to JIT/accelerator code generation), it is recommended to run code at least twice when timing computations with tic/toc or other means.
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