Parallel Computing in Simulink
For workflows that involve multiple parallel simulations and logging of large amounts of data, you can use parallel computing to accelerate Simulink simulations. This approach is useful in scenarios like model testing, experiment design, Monte Carlo analysis, and model optimization.
Tools
| Multiple Simulations | Run multiple simulations from the Simulink Editor (Since R2021b) |
| Simulation Manager | Monitor multiple simulations and visualize the simulation data |
Topics
Run Simulations
- Running Multiple Simulations in Simulink (Simulink)
Run multiple simulations from theparsimandbatchsimcommands, and the Multiple Simulations panel in Simulink Editor. - Run Parallel Simulations (Simulink)
Programmatically run model simulations in parallel. - Run Parallel Simulations for a Thermal Model of a House Using parsim (Simulink)
Use aSimulink.SimulationInputobject to run multiple parallel simulations command line workflow. - Configure and Run Simulations with Multiple Simulations Panel (Simulink)
Learn about the Multiple Simulations panel in the Simulink Editor. - Comparison Between Multiple Simulation Workflows (Simulink)
Understand the similarities and differences betweenparsim,parsimwithRunInBackground, andbatchsim. - Multiple Simulations Workflow Tips (Simulink)
The goal of this example is to provide helpful tips for running multiple simulations using parallel simulation tools. - Analyze Results Using Simulation Manager (Simulink)
Use the Simulation Manager to visualize simulation data, analyze simulation results and trends. - Reduce Update Time for Referenced Models by Using Parallel Builds (Simulink)
Reduce diagram update time for large model reference hierarchies by using parallel builds.
Model Electrical Systems
- Tolerance Study Using Monte Carlo Simulations in Resonant LLC DC-DC Converter (Simscape Electrical)
This example shows how to use Simscape™ Electrical™ to perform a Monte Carlo analysis to optimize the design of an LLC resonant DC-DC converter when some of its components have tolerances. - Characterize Condenser Microphone Model (Simscape Electrical)
This example shows how to characterize a condenser microphone model using the Variable Gap Capacitor (Simscape Electrical) block. (Since R2024b)
Generate Code
- Reduce Build Time for Referenced Models by Using Parallel Builds (Simulink Coder)
Apply parallel builds to reduce build time for large model reference hierarchies.
Related Information
- Functions with Automatic Parallel
Support (Simulink)
- Functions with Automatic Parallel
Support (Simscape Electrical)
Featured Examples
Use Multiple Simulations Panel to Run Design Study with Different Parameter Values
Use the Multiple Simulations panel in the Simulink® Editor to run multiple simulations with varying values of stiffness of the suspension for a road profile that has a sinusoidal shape.
Run Parameter Sweep Using Parallel Simulations
Run multiple simulations of a Monte Carlo study in parallel using parsim and Parallel Computing Toolbox™. Parallel execution leverages the multiple cores of your host machine to speed up multiple simulations. These simulations can also be run in parallel on compute clusters using MATLAB® Parallel Server™. If you do not have Parallel Computing Toolbox or MATLAB Parallel Server, the simulations in this example run serially.
Model Quadcopter Drone
Model a quadcopter that navigates a path to deliver a package. You can download this model in MATLAB® or access it from MATLAB Central File Exchange and GitHub®.
Run Parameter Sweep in Rapid Accelerator Mode Using Parallel Simulations
Run multiple accelerated simulations in parallel by using parsim and Parallel Computing Toolbox™. Run Parameter Sweep Using Parallel Simulations shows how to use multiple cores of your host machine to run independent simulations while varying a parameter. In this example, use rapid accelerator mode to speed up multiple simulations even further. If you do not have Parallel Computing Toolbox or MATLAB Parallel Server™, the simulations in this example run serially.
Run Test-Case Sweep Using Parallel Simulations
Run multiple Simulink® simulations corresponding to different test cases using batchsim and Parallel Computing Toolbox™. The batchsim function offloads simulations to a compute cluster, freeing up your local machine so you can continue working while the batch job is processing. While parsim is useful for running parallel simulations on local resources, batchsim is useful for running a large number of computationally expensive simulations. If you do not have Parallel Computing Toolbox, the simulations in this example will run serially.
Rapid Accelerator Simulations Using Parsim
The use of Rapid Accelerator in applications that require running parallel simulations for a range of input and parameter values.
