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Profile and Optimize Execution Performance

Analyze and optimize execution time of models deployed on Raspberry Pi® hardware to make sure they meet real-time requirements

Analyze the execution time of the Simulink® model running on Raspberry Pi hardware to determine if the generated code meets real-time performance requirements. Use execution profiling results to identify bottlenecks and make informed improvements, thus optimizing the design for real-time and resource-constrained scenarios.

Also, improve performance and efficiency of code generated and deployed on your Raspberry Pi hardware to achieve faster execution and better resource utilization for Raspberry Pi applications.

For more information on the product stack required for profile execution of Simulink models using Raspberry Pi Blockset, see Product Stack for Raspberry Pi Blockset.

Topics

Model Settings

Base rate task priorityStatic priority of the base rate task
Base rate triggerSelect the source of the scheduler interrupt for the Raspberry Pi hardware
Detect task overrunsDetect and indicate when a task overrun occurs

Related Information

Featured Examples