Manual Performance Optimization
R2026bAchieve faster simulation with your models by manually optimizing the model using one or more of these techniques. For more information, see How Optimization Techniques Improve Performance and Accuracy.
Tools
| Simulink Profiler | Analyze distribution of compilation and execution time among components and blocks |
Functions
generateReport | Create report from Simulink Profiler results (Since R2023a) |
| Generate explanation of Simulink Profiler results using AI (Since R2026b) |
sldiagnostics | Display diagnostic information of Simulink system |
Objects
Simulink.profiler.Data | Access profiling information created using Simulink Profiler |
Model Settings
Topics
- Troubleshoot and Speed Up Simulation Performance
Troubleshoot models and simulation settings to diagnose performance issues and speed up simulations.
- Speed Up Simulation
Techniques for improving simulation speed.
- Check and Improve Simulation Accuracy
How to interpret simulation accuracy and incorrect simulations.
- How Simulink Profiler Captures Performance Data
How the Simulink Profiler identifies parts of your model that slow down simulation.
- How Optimization Techniques Improve Performance and Accuracy
Use optimization techniques to understand model behavior and modify model settings to improve performance and accuracy.
- Modeling Techniques That Improve Performance
Approaches for improving model performance.
- Running Multiple Simulations in Simulink
Run multiple simulations from the
parsimandbatchsimcommands, and the Multiple Simulations panel in Simulink® Editor. - Understanding Total Time and Self Time in Profiler Reports
The Simulink Profiler displays the performance of the components of your model and their simulation phases.
Featured Examples
Run Selected Model Advisor Checks and Generate a Report
Demonstrates how to programmatically run selected Model Advisor checks on a Simulink model, retrieve the results for individual checks, and generate an HTML report summarizing the findings. In this workflow, the example checks for unconnected lines and unit mismatch within the model, helping to identify potential modeling issues and complexity.
Analyze Simulation Execution Using Simulink Profiler
Identify issues that can contribute to poor simulation performance.
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.
Multiple Simulations Workflow Tips
The goal of this example is to provide helpful tips for running multiple simulations using parallel simulation tools. This example will work even if the Parallel Computing Toolbox™ is not available, but the simulations will run in serial. We will be using the model sldemo_suspn_3dof.
