Perform simulations on a cluster

This example uses the local (default) cluster profile that is pre-configured to the local desktop machine. You can also search for other MATLAB® Distributed Computing Server™ clusters that are running on Amazon EC2®. On the Home tab in the Environment section, select Parallel > Discover Clusters. To access these clusters, you must provide your MathWorks® Account login information. For details, see docid:distcomp_ug.f5-16141.

Start parallel pool on your local machine.

parpool;

Starting parallel pool  parpool  using the 'local' profile ... connected to 4 workers.

Load a sample project containing the G-protein model described in the docid:simbio_ug.bqh3xbo-1.

sbioloadproject gprotein;

To simulate the model in parallel, first create a SimFunction object. The object provides a function-like interface to simulate models.

Suppose you want to scan the rate of G-protein inactivation kGd and see how the model behaves under each value. Define kGd as the input of the SimFunction object. Then define other species and parameters such as Ga, RL, G as observables, that is, outputs of the object that you can plot and observe. Since there are no doses, pass in an empty array as the last input argument.

Set the 'UseParallel' option to true to simulate the model using the available workers.

f = createSimFunction(m1,{'kGd'},{'Ga','RL','G'},[],'UseParallel',true)

f = 

SimFunction:Parallel

Parameters:

    Name     Value       Type    
    _____    _____    ___________

    'kGd'    0.11     'parameter'

Observables: 

    Name      Type   
    ____    _________

    'Ga'    'species'
    'RL'    'species'
    'G'     'species'

Dosed: None

Sample the values of kGd to scan.

 kGdValues = linspace(1e-3, 0.15, 5)';

Simulate the model multiple times using different kGd values for 600s.

 sbioplot(f(kGdValues,600));

Shut down the parallel pool.

 delete(gcp('nocreate'));