#MATLAB 2012 UNIX CODE#
Finally running a SEQUENTIAL code in multi node, multi processor won't help you in anyway, it will just simply run on 1 single high speed processor with high memory although you asked for may be 1 node and 16 processor and You'll get the result (that you could not run on your local machine).
You are only in need to pass this validation only for once.Now you are ready to go and it will be your default configuration.Once all the stages are validated successfully, close the window and make sure that your default configuration is Torque.Click on the radio button Torque and hit start validation.Leave the Task tab unchanged and hit OK.If you would have asked for nodes=2:ppn=4, maximum number of worker would be 8 That is nodes=1:ppn=16 you asked and your maximum number of worker is 16. Maximum number of worker will be number of nodes*number of processor you asked for.Now in the Jobs tab, write maximum number of worker to 16 and minimum number of worker to 1.Resource list parameter field: -l nodes=1:ppn=16,walltime=50:00:00 (That implies, you are requesting for 1 compute node (out of 4) 16 processor for 50 hours).Your home directory that you found from pwd - something like /home/me_h3/au_user_id.Fill the blanks in Scheduler tab as follows.It will give you your current home directory address In SecureCRT write "pwd" and hit Enter.Click on Parallel and Manage Configuration.Running sequential code in multiple processors does not help in computation to be done faster and it is identical to running job in a single processor.
Your code also must be parallel (like parfor-parallel for loop) in order to take advantage of multi-processors.You must configure your parallel computing toolbox in-order to run your job in multiple processor and nodes.Now at this time if you run any program it will be running on Head node which is not desired.You can type "matlab &" and matlab will pop-up.
#MATLAB 2012 UNIX SOFTWARE#
> Software - Matlab Software - Matlab Running MATLAB in HPCC: High Performance Compute Cluster (HPCC)