#TIME MATLAB 2012 SOFTWARE#
#TIME MATLAB 2012 CODE#

Batch mode-You can submit your job using a shell script file, and check back the result later (meanwhile you can terminate your secureCRT connection, go to sleep, turn off your machine!) may be after 1-2 days, and it is highly recommended to submit the job in batch mode if your simulation requires 1-2 days.

Graphical User Interface mode-In this case you need to invoke matlab by 'matlab &' and run a parallel job the way you usually run job in your local machine but you need to keep open your computer and matlab all the time unless your job is done and it is not a better idea to keep on your machine up for 1-2 days!.

Once you validated your parallel computing toolbox, job can be submitted in two different ways It is recommended to ask for nodes=1:ppn=1 if you wish to run sequential program in cluster computer.

#TIME MATLAB 2012 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).

To get a program running faster is also very much dependent on your coding style, say you have a parallel for loop that assigns value to an array within that loop but it has data dependency to another sequential loop, and in that case it won't run faster.

It takes time to talk back and forth with different nodes (if job is running on multiple nodes) because it needs time to allocate different node and there is a communication overhead (in terms of time) between the nodes.

It has been tested running program on multiple nodes takes more time than running in single node (running on nodes=1:ppn=16 is faster than nodes=2:ppn=8 but in both cases number of processor is 16).

Actually your parallel code is de-assembled in to several modules and sent to different workers (which is equal to number of processor) and after the completion of task worker sends the result to head node and it is re-assembled to show you the result so it takes time.

But for small program that requires 1-2 hours, it is recommended to use 4-8 processor because it requires time to allocate that many processors, communication overhead (in terms of time) to talk in between processors.

For longer simulation that requires 1 or 2 days, it is better to ask 32-50 processor.

It is recommended that try using 4-10 processor, if not satisfied try using 10-15 processor and so on and see if the performance is increased or decreased.

If you want more processor and worker, you need to validate it once again with the desired value.

Now everytime you run your parallel code, it will use this configuration (1 node and 16 processor).

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.

#TIME MATLAB 2012 SOFTWARE#

> Software - Matlab Software - Matlab Running MATLAB in HPCC: High Performance Compute Cluster (HPCC)

Time matlab 2012