I am having some trouble utilising multiple matlab engines from within a piece of parallelised code. I can successfully spawn multiple engines using engOpenSingleUse
but am unable to communicate with more than one engine (ie. calls to engPutVariable
fail).
As always, a minimal (VS) example:
#include "stdafx.h"
#include <engine.h>
#include <omp.h>
int _tmain(int argc, _TCHAR* argv[])
{
//First spawn the matlab engine sessions
Engine *m_Engines[2];
for (int i = 0; i < 2; i++)
{
m_Engines[i] = engOpenSingleUse(NULL, NULL, NULL);
}
//Then spawn the worker threads...
#pragma omp parallel num_threads(2)
{
// Allocate an engine to each thread
int thread_num = omp_get_thread_num();
Engine *thisEngine = m_Engines[thread_num];
#pragma omp for
for (int i = 0; i < 10000; i++)
{
// Create an mxArray and stick some data in it
mxArray* mM = NULL;
mM = mxCreateDoubleMatrix(1, 1, mxREAL);
double data[1] = { 1.0 };
memcpy((void *)mxGetPr(mM), (void *)data, sizeof(data));
// Send it across to matlab
engPutVariable(thisEngine, "A", mM);
// Run some algorithm
engEvalString(thisEngine, "A=A+1;");
// Retrieve result
mM = engGetVariable(thisEngine, "A");
// Get it out of the mxarray
double A = *mxGetPr(mM);
}
}
return 0;
}
Any ideas? Am using Matlab R2012b on Win x64.
As commented below your question, if you deliberatly call functions of a non-thread safe closed source library from multiple thread with no synchronization, then the behaviour is not predictable and you should avoid doing it. A possible idea is to span calls to MATLAB engine across multiple processes, but please consider that it may increase complexity (inter-process synchronization is required) and worsen performances.
By the way, C++11 and later users should program by using the new MATLAB Engine API for C++. Please note that engOpenSingleUse
has not an equivalent function, at least not explicitly, in the new API (the closest replacement is matlab::engine::startMATLAB
).
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