how to compile matlab codes to standalone applciations

Sometimes, our matlab simulation may require a large amount of computation resources, which even causes hundreds of days for us to wait for the results. It seems unendurable and what we can do is just to give up the experiments. Is it true? No, we can find some solution to overcome this difficulty. Cluster! the same idea of Mapreduce. First, we dicompose the problem into subproblems, then we solve these subproblems using different processors in a cluster of computers. Finally, we combine the results of subproblems into one final solution to the original large-scale problem.

To use matlab on the cluster, the first problem we have to solve is to compile the matlab code into a standalone application. Because it not only speeds up the computation time but also is not limited by the restriction of maximum licenses for the matlab software we can use at the same time.

To compile the matlab, we have to configure the environment at the beginning. The command is

module add mcc

This command sets the lib path for matlab standalone executable. Without this setting, you may get the error saying that some shared library is missing. Next, we call

mcc -m -v main.m -a \sourcecode\

which not only compiles your main matlab codes but also the codes in the folder and subfolder of sourcecode.

Now we can talk about how to submit the executable file to clusters.