Recently I’ve bumped into the need to have Matlab code running on Amazon cloud infrastructure. Moreover my Matlab application has to communicate with rest of the world, therefore I have had to find some third party communication labrary for Matlab which will do the work. It’s long story why do I need this, but googling around I’ve found series of the blog entries, which explains in details how to do it, basically it also explains the reason why do I need to do it.

  1. Using Amazon EC2 to speed up matlab optimisation
  2. Writing a socket interface in Matlab to send / receive the commands
  3. Setting up an Ubuntu EC2 instance to run the compiled Matlab code
  4. Writing matlab software to communicate with the server.

As you may probably guess were this strightforward procees I’ve never been spending my time to write this blog entry. Since I’ve had to solve a couple of puzzles and tackled with quite a few trick I’d like to memorize my expirience here, hopefully it will save time to more people later.

1. First step, download msocket toolbox(set of wrappers for socket communication) .

Msocket library located at google code repository and looks like nobody has touched for year or two and there were several changes in Matlab API since then. Therefore you will have to patch a bit code in this library to make it compile.

1.1 Add include to matrix module (#include <matrix.h>) for msrecv.cpp and msrecvraw.c.
1.2 Replace each occurence of “mxCreateScalarDouble” with “mxCreateDoubleScalar”.
1.3 Open msocket with Matlab and execute compileit, this will compile source code for you.
1.4 Add msocket library to Matlab path.

Now you ready to implement your client/server application while leveraging mathematics capabilities of Matlab.

2. Implement your client/server application.

I will skip this part, mainly because it’s greatly covered in blog post series I’ve mentioed above and because due to licensing regulation I cannot past this code here in the blog.

3. Instantiate EC2 on Amazon.

Just pick instance which suites your goals and run them. I’ve used micro instance with Ubuntu 12.04 LTE as OS.

4. Update packages.

SSH into your newly created instances and run form terminal an update:

Terminal Window
sudo apt-get update && sudo apt-get upgrade -y

Once update install several dependencies we will use later.

Terminal Window
sudo apt-get install g++ libxmu6 libxt6 -y

5. Download MCR.

Download MCR from Matlab site here. Once download is finished upload it on your EC2 instances.

6.Install MCR at EC2.

On each instance run in terminal:

Terminal Window
cd MCR_R2013a_glnxa64_installer/
./install -console -mode silent  -agreeToLicense yes

7. Compile your Matlab application.

mcc -m NameOfYourApplication

8. Upload compiled on EC2 instances.

After compilation has finished you need to upload compiled code onto the cloud instances. You need to upload files: * NameOfYourApplication *

9. Run your app.

Terminal Window
./ /usr/local/MATLAB/MATLAB_Compiler_Runtime/v81/