Manual Performance Optimization

Optimize model settings manually, identify and resolve performance bottlenecks

Achieve faster simulation with your models by manually employing some of these optimization techniques. For more information, see How Optimization Techniques Improve Performance and Accuracy.

Tools

Profiler

Identify sources of simulation slowdowns

Functions

sldiagnostics Display diagnostic information about Simulink system

Objects

Simulink.profiler.Data Programmatically access Simulink Profiler information

Simulink Configuration Parameters

Model Configuration Parameters: Simulation Target

Examples and How To

Speed Up Simulation

Techniques for improving simulation speed.

Check and Improve Simulation Accuracy

How to interpret simulation accuracy and incorrect simulations.

How Profiler Captures Performance Data

How the Profiler identifies parts of your model that slow down simulation.

Concepts

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.

Run Multiple Simulations

Directly run multiple simulations from the parsim and batchsim commands.

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

Model Advisor

The capabilities of the Model Advisor to check a model or subsystem for conditions and configuration settings that can result in inaccurate or inefficient simulation of the system represented by the model or generation of inefficient code from the model. The Model Advisor produces a report that lists all the suboptimal conditions or settings that it finds, suggesting better model configuration settings where appropriate.

Open Model

Simulink Model Discretizer

This interactive example discretizes the Actuator Model in an aircraft Simulink® model.

Open Example

Parallel Simulations Using Parsim: Test-Case Sweep

Run multiple Simulink® simulations corresponding to different test cases in the Signal Editor block using SimulationInput objects and the parsim command. The parsim command uses Parallel Computing Toolbox™, if it is available, to run simulations in parallel, otherwise the simulations are run in serial.

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Multiple Simulations Workflow Tips

The goal of this demo 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 for this example.

Open Script