Running Multiple Simulations
For workflows that involve multiple parallel simulations and logging of large amounts of
data, you can use the
batchsim functions, or
run the simulations with the Multiple Simulations panel in the Simulink® Editor. This approach is useful in scenarios like model testing, experiment design,
Monte Carlo analysis, and model optimization.
For the command line workflow (
functions), you can create simulation sets by using an array of
Simulink.SimulationInput objects to run multiple simulations. Alternatively, you can
use the Multiple Simulations panel in Simulink.
In the Multiple Simulations panel, you can create design studies to make specify values for simulations. The panel allows you to specify values for block parameters, and variables for the simulations.
With the Parallel Computing Toolbox™, you can also use the
functions, and Multiple Simulations panel to run the simulations in
To run multiple simulations with
parsimfunction, see Run Parallel Simulations for a Thermal Model of a House Using parsim. To learn more about how the
parsimfunction runs simulations in parallel, see Run Parallel Simulations.
To learn about running multiple simulations in batch, see
To understand the differences between the command line workflows and how they work, see Comparison Between Multiple Simulation Workflows.
To use the graphical user interface for running multiple simulations, see Configure and Run Simulations with Multiple Simulations Panel.
To learn how to monitor the simulations and view the results, see Analyze Data from Multiple Simulations.
When the pool is not already open and simulations are run for the first time, simulations take an additional time to start. Subsequent parallel simulations are faster.
Multiple Simulations with Simulink Editor
The Multiple Simulations panel allows you to set up multiple simulations for different values of block parameters and variables. You can pick a block parameter of interest from the model canvas and specify values that you want to use for the simulations. You can also provide variables for simulations. To run the simulations that you have set up, first, select the design study, then click Run All button on Simulation tab on the Simulink toolstrip. To learn more, see the Multiple Simulations Panel: Simulate for Different Values of Stiffness for a Vehicle Dynamics System example.
Multiple Simulations with Parallel Computing Toolbox
parsim function and the Multiple Simulations
panel distributes each simulation to parallel pool workers to decrease your overall simulation
time when running in parallel. Using the
parsim function and the
Multiple Simulations panel creates a parallel pool, which allows you to
identify file dependencies and manage build artifacts for simulations in accelerator and rapid
batchsim function offloads the simulations to the compute cluster.
The simulations are executed on the cluster, which allows you to carry out other tasks while the
batch job is processing. You can also close the client MATLAB® session and access the batch job later.
batchsim function uses the Parallel Computing Toolbox™ license to
run the simulations on compute cluster. The
batchsim function runs the
simulations in serial if a parallel pool cannot be created. If Parallel Computing Toolbox license,
batchsim function gives an errors.
Multiple Simulations with the
In the absence of a Parallel Computing Toolbox license, the
parsim function and the Multiple
Simulations panel behave like the
sim command. The simulations
run in serial.
Multiple Simulations with
In command line workflows, you can make changes to your model using the
Simulink.SimulationInput object and run a simulation in parallel with
those changes. Changing the values in the
Simulink.SimulationInput object, overrides the values in the model, which allows you
to modify the model without dirtying it. Through the
object, you can also specify MATLAB functions to run
at the start and the end of each simulation by using the
PostSimFcn functions, respectively. When you use
Simulink.SimulationInput objects, the model parameters are restored after the
simulation ends. See Run Parallel Simulations for a Thermal Model of a House Using parsim. The
Simulink.SimulationInput object allows you to change these settings in your model:
Simulation Manager to Monitor Simulations
The Simulation Manager allows you to monitor multiple parallel simulations. It shows the progress of the runs as they are running in parallel. You can view the details of every run such as parameters, elapsed time, and diagnostics. The Simulation Manager acts as a useful tool by giving you the option to analyze and compare your results in the Simulation Data Inspector. You can also select a run and apply its values to the model. For more information, see Simulation Manager.
parsim/batchsim Function Capabilities
Outputs errors in the simulation output object for easier debugging
Compatible with rapid accelerator and fast restart
Compatible with file logging (to facilitate big data)
Compatible with MATLAB Parallel Server™ in addition to local parallel pools
Capable of transferring base workspace variables to workers
Avoids transparency errors
Data Logging for Multiple Simulations
Simulink.SimulationOutput object, which contains the
simulation outputs, captures error messages and the simulation metadata. When you select the
Data Import/Export > Log Dataset data to file configuration parameter,
Simulink creates a
Simulink.SimulationData.DatasetRef object for each
Dataset stored in the resulting MAT file. You can use the
DatasetRef object to access the data for a
Dataset element. For simulations that are run using the
Simulink.SimulationInput objects, the
object is returned as part of the
SimulationOutput object. As
a result, you have quicker access to and do not need to create them.
Parallel simulations can produce more logged data than the MATLAB memory can hold. Consider logging to persistent storage for parallel simulations
to reduce the memory requirement. When you select the Data Import/Export
> Log Dataset data to file configuration parameter
LoggingToFile), for parallel simulations in Simulink:
Data is logged in Dataset format in a MAT-file
Simulink.SimulationData.DatasetRefobject is created for each Dataset element (for example,
logsout) for each simulation
You can use
DatasetRef objects to access data for a
specific signal. You can create
matlab.io.datasetore.SimulationDatastore objects to use for streaming logged data
from persistent storage in to a model.