Matlab may have its own MPI installed. It definitely does if you have
the parallel computing toolbox. If you have that, it could be causing
problems. If you can, you might consider compiling your Matlab
application into a standalone executable, then call that from your own
program. That
Juraj,
if i understand correctly, the "master" task calls MPI_Init(), and then
fork matlab.
In some cases (lack of hardware support), fork cannot even work. but
let's assume it is fine for now.
Then, if i read between the lines, matlab calls mexFunction that MPI_Init().
As far as i am
Hi Juraj,
Although MPI infrastructure may technically support forking, it's known
that not all system resources can correctly replicate themselves to forked
process. For example, forking inside MPI program with active CUDA driver
will result into crash.
Why not to compile down the MATLAB into a
Hello,
I have an application in C++(main.cpp) that is launched with multiple
processes via mpirun. Master process calls matlab via system('matlab
-nosplash -nodisplay -nojvm -nodesktop -r "interface"'), which executes
simple script interface.m that calls mexFunction (mexsolve.cpp) from which
I
